Tel: +966 (013) 860-7175 / 860-4002

Fax: +966 (013) 860-2595

Email: ramadank@kfupm.edu.sa

Location: Bldg. 76, Rm. 2139

Dr. Khalid A. H. Al-Ramadan

Professor, Program Leader – Geosystems, CIPR, Department of Geosciences

Since joining the Department of Geosciences in September 2006, Dr. Khalid has successfully led many interdisciplinary collaborative projects funded by KFUPM, KACST, and Saudi Aramco. These projects have allowed us to network with colleagues from prestigious international universities (Stanford, Tennessee, Leeds, Cardiff, Copenhagen, Milan) and from oil companies.

Educational Qualification

Ph.D. in Geology, Uppsala University, Uppsala, Sweden, 2002-2006.
M.Sc. in Geology, KFUPM, Dhahran. Saudi Arabia, 1999-2001.
B.Sc. (Honors) in Geology, KFUPM, Dhahran, Saudi Arabia, 1993-1998.

Research Interests

Sedimentology and impact of diagenesis on reservoir quality of deep-sea turbidites.
Stratigraphy and chronology of dunes in the Rub’Al Khali, Saudi Arabia.
Modern depositional shallow marine environments.

Selected Publications

Al-Ramadan, K., Morad, S., Jean-Noel, P., and Al-Aasm, I., (2005). Distribution of Diagenetic Alterations in Siliciclastic Shoreface Deposits Within Sequence Stratigraphic Framework: Evidence From The Upper Jurassic, Boulonnais, NW France. Journal of Sedimentary Research, v. 75, p. 943-959.
Morad, S., Al-Ramadan, K., Ketzer, J. M., and De Ros, L. F., (2010). “The Impact of Diagenesis on the Heterogeneity of Sandstone Reservoirs: A Review of the Role of Depositional Facies and Sequence Stratigraphy”, AAPG Bulletin, v. 94, no. 8, p. 1267–
Warren W. Wood, Richard M. Bailey, Brian A. Hampton, Thomas F. Kraemer, Zhong Lu, David W. Clark, Rhodri H.R. James, Al-Ramadan, K., (2012). “Rapid late Pleistocene/Holocene uplift and coastal evolution of the southern Arabian (Persian) Gulf”, Quaternary Research, 77, 215–220.
Al-Ramadan, K., Dogan, A. U., and Senalp, M., (2013). Sedimentology and Diagenesis of the Miocene Nutaysh Member of the Burqan Formation in the Midyan Area, Northwestern Saudi Arabia. Geological Quarterly, v. 57 (1), p. 165-174.
Al-Ramadan, K., Sadoon, M., and Plink, P., (2013). “Distribution of Diagenetic Alterations in Relationship to Depositional Facies and Sequence Stratigraphy of Wave- and Tide-Dominated Siliciclastic Shoreline Complex: Upper Cretaceous Chimney Rock Sandstones, Wyoming and Utah, USA”, International Association of Sedimentologists Special Publication 45: Linking Diagenesis to Sequence Stratigraphy, p. 271-296.
Al-Ramadan, K., Morad S., Norton A. K., Hulver, M., (2013). “Linking Diagenesis and Porosity Preservation to Sequence Stratigraphy of Gas Condensate Reservoir Sandstones, the Jauf Formation (Lower to Middle Devonian), Eastern Saudi Arabia”, International Association of Sedimentologists Special Publication 45: Linking Diagenesis to Sequence Stratigraphy, p. 297-335.
Al-Ramadan, K., (2014). Illitization of Smectite in Sandstones – The Permian Unayzah Reservoir, Saudi Arabia, Arabian Journal for Science and Engineering, v. 39, p. 407-412.
Matysik, M., Al-Ramadan, K., and Riding, R., .(2015). Composition and Morphology of Early Devonian Microbial and Metazoan Patch Reefs: Qasr Member of the Jauf Formation, Northwestern Saudi Arabia, Journal of Sedimentary Research, 85, p. 45-61.
Koeshidayatullah, A., Al-Ramadan, K., Collier, R.E.L, and Hughes, G.W. (2016) Variations in Architecture and Cyclicity in Syntectonic Fault-Bounded Carbonate Platforms: Early Miocene Red Sea Rift, NW Saudi Arabia.Marine and Petroleum Geology. 70, p. 77-92.
Amao, A. O., Al-Ramadan, K.,& Koeshidayatullah, A. (2016). Automated mineralogical methodology to study carbonate grain microstructure: an example from oncoids. Environmental Earth Sciences, 75(8), 1-11.
Koeshidayatullah, A, Chan, SA, Al-Ghamdi, M, Akif, T and Al-Ramadan, K.(2016) Discrimination of inland and coastal dunes in Eastern Saudi Arabia desert system: An approach from particle size and textural parameter variations. Journal of African Earth Sciences. 117, 102-113.
Hakami, A., Al-Mubarak, A., Kurison, C., Al-Ramadan, K., and Leyva Poveda, I., (2016), Characterization of Carbonate Mudrocks of the Jurassic Tuwaiq Mountain Formation, Jafurah Sub-Basin, Saudi Arabia: Implications for Unconventional Reservoir Potential Evaluation; Journal of Natural Gas Science and Engineering, vol. 33, p. 1-20.
Hakami, A., Ellis, L., Al-Ramadan, K., and Abdelbagi, S., (2016). Mud gas isotope logging application for sweet spot identification in an unconventional shale gas play; A case study from Jurassic carbonate source rocks in Jafurah Sub-Basin, Saudi Arabia. Marin and Petroleum Geology 76, 133-174.

Awards & Honors

Dr. Khalid initiated and led the American Association of Petroleum Geologists (AAPG) Student Chapter at Geosciences Department. Dr. Khalid was able to secure an exclusive sponsor to significantly fund extracurricular activities. This generous fund has enabled our students to conduct a wide range of activities, including international field excursions to Turkey, Denmark, and Spain between 2011 and 2017. Also, as a faculty advisor of the KFUPM/AAPG student chapter, Dr. Khalid successfully supervised a team of BS and MS students that won the Imperial Barrel Award in the Middle East in 2010, 2012 and 2015. In 2010 and 2015, the KFUPM team won the third prize in the global contest in New Orleans and Denver, respectively.

In addition, below are some selected awards received:

2006 The best oral presentation in the 7^th Middle East Geosciences Conference and Exhibition (GEO2006), 27-29 March, Bahrain.
2007 Junior faculty grant, KFUPM.
2007 British Council summer research grant; postdoctoral summer research at Cardiff University with Prof. Paul Wright.
2010 British Council summer research grant; post-doctoral summer research in University of Leeds.
2012 Best paper award in GEOS 2012 Conference, Singapore.
2013 British Council summer research grant; post-doctoral summer research in University of Leeds.

Tel: +966 (013) 860-3584

Fax: +966 (013) 860-2595

Email: ashuhail@kfupm.edu.sa

Location: Bldg. 76, Rm. 2163

Dr. Abdullatif Al-Shuhail

Professor, Department of Geosciences

Educational Qualification

Ph.D., Geophysics, Texas A&M University, USA, 1998.
M.S., Geophysics, Texas A&M University, USA, 1993.
B.S., Geophysics, KFUPM, KSA, 1987.

Research Interests

Fractured reservoirs
Near-surface geophysics
Micro seismic methods
CO₂ sequestration

Selected Publications

Mousa, W. M., and Al-Shuhail, A. A., 2011. Processing Surface Seismic Reflection Data using MATLAB: Morgan & Claypool Publishers, California, USA.
Al-Shuhail, A. A., Al-Dossary, A, and Mousa, W. M., 2017. Digital Image Processing for Seismic Data Analysis: John Wiley & Sons Ltd, New Jersey, USA.
Mousa, W. M., and Al-Shuhail, A. A. Method of first arrival picking of seismic refraction data: (U.S. Patent and Trade Office Number: US009103935) – Co-Inventor.
Al-Shuhail, A. A. and Adetunji, A., 2016, Joint Inversion of Ground-Penetrating Radar and Seismic Velocities for Porosity and Water Saturation in Shallow Sediments: Journal of Environmental & Engineering Geophysics, 21:105-119.
Edigbue, P. and Al-Shuhail, A. A., 2016. Three-dimensional supervirtual seismic refraction interferometry: Arabian Journal of Geosciences, 9:537-549.
Peter Adetokunbo, Abdullatif A. Al-Shuhail, and Saleh Al-Dossary, 2016. 3D seismic edge detection using magic squares and cubes: Interpretation, 4: T271-T280.
Akram, J. and Al-Shuhail, A. A., 2016. Performance of seismic arrays in the presence of weathering layer variations: Arabian Journal of Geosciences, 9:522-529.
Fatai Anifowose, Suli Adeniye, Abdulazeez Abdulraheem, Abdullatif Al-Shuhail, 2016. Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models: Journal of Petroleum Science and Engineering, 145: 230–237.

Tel: +966 (013) 860-2344

Fax: +966 (013) 860-2595

Email: kaminski@kfupm.edu.sa

Location: Bldg. 76, Rm. 2127

Professor Michael A. Kaminski

Professor, Department of Geosciences

Prof. Mike Kaminski is a Distinguished Professor at the Department of Geosciences. He started his prolific academic career in 1979, graduating with a B.S. degree in Geology from Rutgers University, New Brunswick N.J., USA. He did his masters degree in Geology at the Jagiellonian University in Krakow Poland. In 1987, he was awarded his Ph.D. in the subject of Oceanography from the W.H.O.I./M.I.T. Joint Program in the USA. In 2007, he defended his “Habilitation” thesis at the Polish Academy of Science.

His research, projects, and teaching experience spans nearly 40 years and his recognition within the academic world brings significant recognition to KFUPM. Dr. Kaminski is fluent in English and Polish and is a foreign member of the Polish Academy of Arts & Sciences. He has authored over 250 scientific publications and is the Editor-in-Chief of Micropaleontology, the oldest scientific journal in the subject area. He is a member of the editorial boards of several academic journals, including the Revue de Micropaleontologie, Geological Quarterly, Geologica Carpathica, and the Grzybowski Foundation Special Publications. He has supervised over 60 graduate students.

Educational Qualification

Ph.D., Oceanography, W.H.O.L, MIT Joint Program, USA, 1987.
M.S., Geology, Jagiellonian University, Poland, 1981.
B.A., Geology, Rutgers University, USA, 1979.
B.A., Slavic Studies, Rutgers University, USA, 1979.

Research Interests

Historical Geology, Paleontology, Paleoceanography, Paleoclimatology.
Biodiversity, Evolutionary processes, and the history of marine microfossil communities
Classification, taxonomy, biodiversity of benthic foraminifera
Biochronology of marine microfossils and calibration to the Geomagnetic Polarity Time Scale.
Biostratigraphy & paleoceanography of the North Atlantic and its marginal seas.
High-latitude biostratigraphy and its correlation to standard, low-latitude biochronology
Problems in Tethyan Paleobiogeography and stratigraphic correlation.
The evolution of Cretaceous-Cenozoic climate and the timescales of Global Change.
The use of benthic foraminiferal assemblages for paleoenvironmental analysis.
The development of the general circulation of the Atlantic Ocean from the Late Cretaceous to the Recent.

Selected Publications

Kaminski, M.A., Amao, A.O., Babalola, L., Bu Khamsin, A., Fiorini, F., Garrison, A.M., Gull, H.M., Johnson, R.L., Tawabini, B., Frontalini, F. & Garrison, T.F. 2021. Substrate temperature as a primary control on meiofaunal populations in the intertidal zone: A dead zone attributed to elevated summer temperatures in eastern Bahrain. Regional Studies in Marine Science, 42: 101611.
Stein, R., Fahl, K., Schreck, M., Knorr, G., Niessen, F., Forwick, M., Gebhardt, C., Jensen, L., Kaminski, M., Kopf, A., Matthiessen, J., Jokat, W., Lohmann, G. 2016. Evidence for ice-free summers in the late Miocene central Arctic Ocean. Nature Communications, 7, 11148.
Kaminski, M.A. & Alegret, L. (eds), 2017. Proceedings of the Ninth International Workshop on Agglutinated Foraminifera. Grzybowski Foundation Special Publication, 22, 264 pp.
Katz, M.E., Miller, K.G., Kaminski, M.A. & Browning, J.V. 2018. Neogene benthic foraminiferal biofacies, paleobathymetry, and paleoenvironments of a Gulf of Mexico transect. Journal of Foraminiferal Research, 48 (4), 356-372.
Kaminski, M.A., Perdana, P., Abouelresh, M.O., and Babalola, L. 2019. Late Ordovician agglutinated foraminifera from the Ra’an Shale Member of Saudi Arabia as indicators of the O40 Maximum Flooding Surface. Stratigraphy, 16 (1), 27–39.
Kaminski, M.A. & Perdana, P.R.D. 2020. Lower Silurian benthic foraminifera from Saudi Arabia – including the oldest known multichambered lituolids. Stratigraphy, 17 (3), 141-185.
Kaminski, M.A., Amao, A.O., Babalola, L., Bu Khamsin, A., Fiorini, F., Garrison, A.M., Gull, H.M., Johnson, R.L., Tawabini, B., Frontalini, F., & Garrison, T.F. 2021. Substrate temperature as a primary control on meiofaunal populations in the intertidal zone: A dead zone attributed to elevated summer temperatures in eastern Bahrain. Regional Studies in Marine Science, 42: 101611.

Extended Publications (+)

Kaminski, M.A., 1985. Evidence for control of abyssal agglutinated foraminiferal community structure by substrate disturbance. Marine Geology, 66, 113-131.
Kaminski, M.A., Gradstein, F.M. & Berggren, W.A., 1989. Paleogene benthic foraminiferal stratigraphy and paleoecology at Site 647, southern Labrador Sea. In: S.P. Srivastava, M.A. Arthur and B. Clement, et al., Proc. ODP, Sci. Results, 105, College Station, TX (Ocean Drilling Program), 705-730.
Kaminski, M.A., Baumgartner, P.O., Bown, P., Haig, K., McMinn, A., Moran, M.J., Mutterlose, J., & Ogg, J., 1992. Magnetobiostratigraphic synthesis of Ocean Drilling Program Leg 123: Sites 765 and 766 (Argo Abyssal Plain and lower Exmouth Plateau). In: Ludden, J., Gradstein, F.M., et al. Proc. Sci. Results ODP 123, (College Station, TX), 717-737.
Kaminski, M.A., Kuhnt, W. & Radley, J., 1996. Paleocene-Eocene deep water agglutinated foraminifera from the Numidian Flysch (Rif, Northern Morocco): their significance for the Paleoceanography of the Gibraltar Seaway. Journal of Micropalaeontology, 15, 1-19.
Kaminski, M.A., Kuhnt, W. & Moullade, M. 1999. The evolution and paleobiogeography of abyssal agglutinated foraminifera since the Early Cretaceous: a tale of four faunas. Neues Jahrbuch für Geologie und Paläontologie Abhandlungen, 212 (1-3), 401-439.
Kaminski, M.A. Aksu, A.E., Box, M., Hiscott, R.N., Filipescu, S. & Al-Salameen, M. 2002. Late Glacial to Holocene benthic foraminifera in the Marmara Sea: Implications for the Black Sea – Mediterranean Sea connections following the last deglaciation. Marine Geology, 190, 165-202.
Kaminski, M.A. & Gradstein, F.M. 2005. Atlas of Paleogene cosmopolitan deep-water agglutinated foraminifera. Grzybowski Foundation Special Publication, 10, 547 pp.
Kender, S., Kaminski, M.A., & Jones, R.W. 2008. Early to Middle Miocene Foraminifera from the deep-sea Congo Fan, offshore Angola. Micropaleontology, 55 (6), 477-568.
Kaminski, M.A., Setoyama, E. & Cetean, C.G. 2010. The Phanerozoic diversity of Agglutinated Foraminifera: Origination and Extinction rates. Acta Paleontologia Polonica, 55 (3), 529-539.
Kender, S. & Kaminski, M.A. 2013. Arctic Ocean benthic foraminiferal faunal change associated with the onset of perennial sea ice in the Middle Miocene. Journal of Foraminiferal Research, 43 (1), 99-109.
Kaminski, M.A. 2014. The year 2010 classification of the agglutinated foraminifera. Micropaleontology, 61 (1), 89-108.

Tel: +966 (013) 860-2689

Fax: +966 (013) 860-2535

Email: panteleimon.soupios@kfupm.edu.sa

Location: Bldg. 76, Rm. 2245

Dr. Pantelis Soupios

Professor, CIPR, Department of Geosciences

Pantelis Soupios obtained his B.Sc. in Geology (Aristotle University of Thessaloniki-AUTh, Greece) and his MSc (AUTh) and Ph.D. (AUTh) in Applied Geophysics. He started his carrier at the Laboratory of Geophysics and Seismology of Aristotle University of Thessaloniki in Greece. His expertise is on the application of several geophysical methods for environmental, hydrogeological, engineering applications, and geohazard studies. From 2002-2018, he was a faculty member at the Department of Environmental and Natural Resources Engineering at the Technological Educational Institute of Crete, Greece. He is currently a Professor of Near Surface Geophysics at the Department of Geosciences, KFUPM, Kingdom of Saudi Arabia. Dr. P. Soupios has established a strong international research network for collaboration and has authored and co-authored numerous chapters in books, articles published in scientific journals, and conference papers covering the broader area of applied geophysics. In addition, he has 6 years of industrial experience (mainly in engineering geophysics).

Educational Qualification

Ph.D., Applied Geophysics, Aristotle University of Thessaloniki, Greece and Uppsala University, Sweden 2000
M.S., Applied Geophysics, Aristotle University of Thessaloniki, Greece, 1997
B.S., Geology, Aristotle University of Thessaloniki, Greece, 1995

Research Interests

Environmental and Engineering Geophysics
Applied Hydrogeology and HydroGeophysics
Applied geology and AgroGeophysics
ArchaeoGeophysics at selected Archaeological areas using various geophysical methods.
Advanced geophysical/geological/geochemical methods for waste disposal sites characterization.
Groundwater and soil monitoring

Selected Publications

Ali Imran Sandhu, Umair Bin Waheed, Chao Song, Oliver Dorn, Pantelis Soupios, 2023, Multi-frequency Wavefield Modeling of Acoustic VTI Wave Equation Using Physics Informed Neural Networks, Front. Earth Sci. Sec. Solid Earth Geophysics, Volume 11 – 2023 | doi: 10.3389/feart.2023.1227828
Badhafere, P. Kirmizakis, A. Oshaish, A. El-Husseiny, M. Mahmoud, D. Ntarlagiannis, and P. Soupios, 2023, Detection of Iron Sulfide Materials in Geological Porous Media Using Spectral Induced Polarization Method, SPE Journal, https://doi.org/10.2118/217424-PA.
ALI IMRAN SANDHU, BEN MANSOUR DIA, OLIVER DORN, PANTELIS SOUPIOS, 2023, Bayesian Experimental Design for Efficient Sensor Placement in Two-Dimensional Electromagnetic Imaging, IEEE Access, DOI 10.1109/ACCESS.2023.3288997
Edigbue, P., Akca, I., Demirci, I., Abdullatif Al-Shuhail, Hamdan, H., Kirmizakis, P., Candansayar, E., Hanafy, S., Soupios, P., 2023, Testing different stochastic methods to model direct current resistivity and seismic refraction geophysical data using a combined local and global optimization algorithm, Arabian Journal for Science and Engineering-Springer, DOI 10.1007/s13369-023-07690-3
Kirmizakis, H. Hinojosa-Prieto, F. Bilias and P. Soupios, 2023, Integrated environmental characterization and assessment of an exposed historic manure repository, Science of the Total Environment, V.872(162184), Elsevier, https://doi.org/10.1016/j.scitotenv.2023.162184
Constantinos Loupasakis, Paraskevas Tsangaratos, Theodoros Gatsios, Vasiliki Eleftheriou, Issaak Parcharidis, Pantelis Soupios, 2023, Investigating the stability of the Acropolis Hill, Greece using fuzzy logic and remote sensing techniques, Remote Sensing-MDPI, 15(4), 1067, https://doi.org/10.3390/rs15041067

List of Publication & Research activities:

SYMPLECTIC, https://kfupm.discovery.symplectic.org/search?by=text&v=Soupios
SCOPUS, http://www.scopus.com/authid/detail.url?authorId=15835749500
Google Scholar Citations, http://scholar.google.co.uk/citations?user=yHNNmIcAAAAJ&hl=en
ResearchGate, https://www.researchgate.net/profile/Pantelis_Soupios
PUBLONS, https://publons.com/researcher/2086198/pantelis-soupios/
ORCID, https://orcid.org/0000-0002-4153-3415

Tel: +966 (013) 860 2566

Fax: +966 (013) 860 2595

Email: peter.mora@kfupm.edu.sa

Location: Bldg. 76, Rm. 2169

Dr. Peter Mora

Professor, Department of Geosciences

Peter Mora obtained a B.Sc. Hons in Geophysics from Adelaide University, Australia in 1979 with a thesis on Seismic Raytracing. He worked for 2 years as an Exploration Geophysicist for ESSO Australia and as a consultant in seismic ray tracing to Delhi Petroleum. He obtained an M.Sc. in 1984 and Ph.D. in Geophysics in 1987 from Stanford University on the topic of Full Elastic Wavefield Inversion. After working for 2 years for a pioneering massively parallel supercomputer company – Thinking Machines – he worked as a researcher and then Professor at Institut de Physique du Globe in Paris, France until 1994. He then joined The University of Queensland where he formed a research centre, initially QUAKES and later Earth Systems Science Computational Centre (ESSCC). In 1999, he established the APEC Cooperation for Earthquake Simulation, a collaborative research effort to simulate earthquake related phenomena. In 2002 he established a Major National Research Facility – The Australian Computational Earth Systems Simulator – aimed at simulating geophysical phenomena. From 2010-2018 he was Chief Scientist of a startup company aimed at predicting Foreign Currency Exchange Rates (FOREX). In January, 2019, he joined the CPG at KFUPM. His research spans Full Wavefield Inversion and computational geophysics ranging from simulation of earthquakes and fracture, to simulation of convection and fluid flow. He has over 200 publications. He has supervised over 20 Ph.D. students and 12 M.Sc. Students.

Educational Qualification

Ph.D. in Geophysics from Stanford University, 1987
M.S. In Geophysics from Stanford University, 1984
B.S.Hons (First Class) in Geophysics from Adelaide University, 1979
B.S. From Adelaide University, 1978

Research Interests

Convection, fluid flow and multi-phase flow
Simulation of earthquakes, fracture and friction
Seismic modelling and Full Wavefield Inversion

Selected Publications

Mora, P., Morra, G. & Yuen, D. (2021) Optimal surface tension isotropy in the Rothman-Keller colour gradient Lattice Boltzmann Method for multi-phase flow, Rev. E, 103 (3), 033302, 19pp, https://doi.org/10.1103/PhysRevE.103.033302.
Mora, P., Morra, G.,Yuen, D. & Juanes, R. (2021) Optimal wetting angles in Lattice Boltzmann simulations of viscous fingering, Transport in Porous Media, 136, 831–842, https://doi.org/10.1007/s11242-020-01541-7.
Mora, P., Morra, G.,Yuen, D. & Juanes, R. (2021) Influence of wetting on viscous fingering via 2D Lattice Boltzmann simulations, Transport in Porous Media, 138, pp. 511-538, https://doi.org/10.1007/s11242-021-01629-8.
Wang, Y., Mora, P. & Liang, Y. (2021), Calibration of Discrete Element Modeling: Scaling laws and dimensionless analysis , Particuology, 65(2022), pp 17-31 https://doi.org/10.1016/j.partic.2021.03.020.
Alonso-Marroquin & Mora, P. (2021) Beverloo law for hopper flow derived from self-similar profiles, Granular Matter, 23, 7, https://doi.org/10.1007/s10035-020-01067-1.
Jiang, Y., Mora, P., Herrmann, H. & Alonso-Marroquin, F. (2021) An Irregular Replaceable Particle Model Based on strain energy field, Rev. E, 104, 045311, 23pp, https://doi.org/10.1103/PhysRevE.104.045311.
Mora, P., Morra, G. & Yuen, D. (2020) A concise python implementation of the lattice Boltzmann method on HPC for geo-fluid flow, J. Int., 220(1), 682-702, https://doi.org/10.1093/gji/ggz423.
Jiang, Y., Alonso-Marroquin, F., Herrmann, H. & Mora, P. (2020) Particle fragmentation based on strain energy field, Granular Matter, 22, 69, https://doi.org/10.1007/s10035-020-01038-6.
Mora, P. & Wu, Z. (2018) Elastic vs acoustic inversion for marine surveys, Geophysical Journal Int. 214 (1), 596-622, https://doi.org/10.1093/gji/ggy166.
Mora, P. & Yuen, D. (2018) Simulation of regimes of thermal convection and plume dynamics by the Lattice Boltzmann Method, Physics of the Earth and Planetary Interiors, 275, 69-79, DO: 10.1016/j.pepi.2018.01.003.
Mora, P. & Yuen, D.A. (2018) Comparison of convection for Reynolds and Arrhenius temperature dependent viscosities, Fluid Mechanics Research International Journal, 2 (3), 99-107.
Mora, P. & Yuen, D. (2017) Simulation of plume dynamics by the Lattice Boltzmann Method, Geophysical Journal International Express Letters, 212 (3), 1932-1937.
Wang Y, Mora P (2009) ESyS_Particle: A new 3-D discrete element model with single particle rotation, in: Advances in Geocomputing, Springer, Ed. Xing H, 183-228.
Wang Y, Mora P (2008) Macroscopic elastic properties of regular lattices, J Mech Phys Solids, 56, 3459–3474.
Xu, H., Xing, H., Wyborn, D. & Mora, P. (2007) Analytical and numerical investigation of thermo-fluid flow of fracture dominated geothermal reservoir, Lecture Notes in Computer Sciences (LNCS), 4489, 1156-1163.
Xing H, Makinouchi A, Mora P (2007) Finite-element modeling of interacting fault systems, Physics of The Earth and Planetary Interiors, 163, 106–121.
Xing H, Mora P (2006) Construction of an intraplate fault system model of South Australia, and simulation tool for the iSERVO institute seed project, PAGEOPH, 163, 2297-2316.
Abe S, Place D, Mora P (2004) A Parallel Implementation of the Lattice Solid Model for the Simulation of Rock Mechanics and Earthquake Dynamics, PAGEOPH, 161, 2265-2277.
Mora P (1987) Nonlinear 2D elastic inversion of multi-offset seismic data, Geophysics, 52, 1211-1228.
Mora P (1987) Elastic wavefield inversion, PhD Thesis, Stanford University (SEP-52), 143pp.
Mora P (1988) Elastic wavefield inversion of reflection and transmission data, Geophysics, 53, 750-759.
Mora P (1989) Inversion = migration + tomography, Geophysics, 54, 1575-1586.
Mora P, Place D (1994) Simulation of the frictional stick-slip instability, PAGEOPH. 143, 61-87.
Donzé F, Mora P, Magnier SA (1994) Numerical simulation of faults & shear zones, Geophys. J. Int., 116, 46-52.
Igel H, Mora P, Riollet B (1995) Anisotropic wave propagation through finite-difference grids, Geophysics, 60, 1203-1216.
Komatitsch D, Coutel F, Mora P (1996) Tensorial formulation of the wave-equation for modeling curved interfaces, Geophysical Journal International, 127, 156-168.
Coutel F, Mora P (1998) Simulation based comparison of four site-response estimation techniques, BSSA., 88, 30-42.
Mora P, Place D (1998) Numerical simulation of earthquake faults with gouge: towards a comprehensive explanation for the heat flow paradox. J. Geophys. Res. 103, 21067-21089.
Place D, Mora P (1999) The lattice solid model to simulate the physics of rocks and earthquakes: incorporation of friction, J. Comp. Phys., 1502, 332–372.
Place D, Mora P (2000) Numerical simulation of localisation phenomena in a fault zone, PAGEOPH., 157, 1821-1845.
Abe S, Mora P, Place D (2000) Extension of the lattice solid model to incorporate temperature related effects, PAGEOPH, 157, 1867-1887.
Mora P, Wang Y, Yin C, Place D, Yin XC (2002) Simulation of the load-unload response ratio & critical sensitivity in the lattice solid model, PAGEOPH, 159, 2525–2536.
Mora P, Wang Y, & Marroquin F (2015) The Lattice Solid/Boltzmann microscopic model to simulate solid/fluid systems – a tool to study creation of fluid flow networks for viable deep geothermal energy, J. Earth Science (Special Issue on Deep Geothermal Energy), 26, 11-1
Mora P, Place D (2002) Stress correlation function evolution in lattice solid elasto-dynamic models of shear and fracture zones and earthquake prediction, PAGEOPH, 159, 2413–2427
Mora P, Wang Y. & Marroquin, F (2012) Particle simulation of hydraulic fracture and sustainable geothermal reservoir fluid flow: towards realization of a new green energy, in: Proc. International Workshop of Deep Geothermal Systems, Wuhan, China, June 29-30, 2012.
Mora P, Wang Y. & Marroquin, F (2013) Particle-based simulation of hydraulic fracture and fluid/heat flow in geothermal reservoirs. in: Proc. 7-th Intl. Conf. on Powders & Grains pg2013.unsw.edu.au/, AIP Conf. Proc. 1542, 177-180.

Awards & Honors

Honorable Mention (Geophysics), 1988 for paper titled: Elastic wavefield inversion of reflection and transmission data.

Tel: +966 (013) 860-2524

Fax: +966 (013) 860-4447

Email: mmahmoud@kfupm.edu.sa

Location: Bldg. 76, Rm. 2135

Dr. Mohamed Mahmoud

Professor, Department of Petroleum Engineering

Dr. Mahmoud is a Professor at The Department of Petroleum Engineering. He joined KFUPM as an Assistant Professor in September 2011. Prior that he was working as an application scientist at AkzoNobel, Chicago, USA. From 2004-08 he worked as a Petroleum Engineer at Belayim Petroleum Co. in Egypt. During the period from 2001-04, he was a drilling engineer at Magawish Petroleum Co., Egypt. His Research interests are varied and covering subjects including Well simulation, enhanced oil recovery and multiphase flow in vertical and horizontal wells.

He is a Ph.D. Graduate in Petroleum Engineering from the Texas A&M University 2011. Prior to that, Mohamed undertook his M.Sc. Degree in Petroleum Engineering in Egypt in 2005.

Educational Qualification

Ph.D., Petroleum Engineering, Texas A&M University, USA, 2011.
M.S., Petroleum Engineering, Egypt, 2005.
B.S., Petroleum Engineering, Egypt, 2001.

Research Interests

Well stimulation, formation damage, enhanced oil recovery, drilling fluids, modeling of hole cleaning during drilling deviated and horizontal wells, and multiphase flow in vertical and horizontal wells.

Selected Publications

Tariq, Z., Mahmoud, M.*, Abdulraheem, A., Al-Nakhli, A., and BaTaweel, M. 2020. An Experimental Study to Reduce the Breakdown Pressure of the Unconventional Carbonate Rock by Cyclic Injection of Thermochemicals Fluids. Accepted, Journal of Petroleum Science and Engineering. IF. 3.1, Q1.
Tariq, Z., Mahmoud, M., Abdulraheem, A. 2020. An Intelligent data-driven Model for Dean-Stark Water Saturation Prediction in Carbonate Rocks. Accepted, NCAA-D-19-01467, in Neural Computing and Applications. IF 4.66, Q1 Journal.
Elsayed, M., Mahmoud, M.*, El-Husseiny, A., Kamal, M.S., Al-Garadi, K. 2020. A New Method to Evaluate Reaction Kinetics of Acids with Carbonate Rocks Using NMR Diffusion Measurements. Accepted, Energy and Fuels. IF 3.02, Q1 journal.
Lawal, L., Olayiwola, T., Abdel-Azeim, S., Mahmoud, M.*, Onawole, A., Kamal, M. 2020. Molecular Simulation of Kerogen-Water Interaction: Theoretical Insights into Maturity. Accepted, Journal of Molecular Liquids, IF 4.561, Q1.
Alade, A.S., Hamdy, M., Mahmoud, M.*, Al Shehri, D., Mokheimer, E., Patil1, S., Al-Nakhli, A. 2020. A Preliminary Assessment of Thermochemical Fluid for Heavy Oil Recovery. Accepted, Journal of Petroleum Science and Engineering. IF. 3.1, Q1.
Mahmoud, M.*, Alade, O.S., Hamdy, M., Patil, S., Mokheimer, E.M. 2019. In Situ Steam and Nitrogen Gas Generation by Thermochemical Fluid Injection: A New Approach for heavy Oil Recovery. Accepted, Energy Conversion and Management. IF 7.18 Q1 Journal.

Awards & Honors

First Winner in SPE Paper Contest Award, Egyptian Section, 2001.
Best Paper Award for SPE Young Professional at the ATCE 2009, New Orleans Louisiana, USA. 2009.
Best Paper Award for SPE Young Professional at the ATCE 2011, Colorado, Denver, USA, 2011.
Distinguished Teaching Award, KFUPM, KSA, 2016.

Tel: +966 (013) 860-8489

Fax: +966 (013) 860-4447

Email: elkatatny@kfupm.edu.sa

Location: Bldg. 76, Rm. 2149

Dr. Salaheldin M. Elkatatny

Professor, Department of Petroleum Engineering

Dr. Elkatatny is a Professor at the Department of Petroleum Engineering, KFUPM. He joined KFUPM as an Assistant Professor in January 2015. He worked as a Senior Geo-mechanical Engineer at Advantek International Co. for four years. He was employed by Suco Oil Co. as a Drilling Engineer for one year. He received his Ph.D. in the Petroleum Engineering Department at Texas A&M University, College Station, Texas, USA. He received his B.Sc. and M.Sc. degrees from the Petroleum Engineering Department at Cairo University, Egypt. His research group focuses on drilling fluid optimization, filter cake removal, oil-well cementing, application of artificial intelligence and machine learning in petroleum engineering, and geomechanics. Dr. Elkatatny established state of the art labs such as Drilling Fluid Research Lab, Cementing Research Lab, Well Control Simulator and Two Advanced Drilling Simulators. Dr. Elkatatny published many journal papers (more than 160), conference papers (more than 170) and more than 37 U.S. patents. Dr. Elkatatny is working as Associate Editor for Journal of Energy Resources Technology and also for Arabian Journal for Geosciences. He is working as a technical editor for more than 20 journals.

Dr. Elkatatny is in charge of a new initiative to transform ideas into a reality. find out more by visiting IDEAS page.

Educational Qualification

Ph.D., Petroleum Engineering, Texas A&M University, USA, 2013.
M.S., Petroleum Engineering, Cairo University, Egypt, 2009.
B.S., Petroleum Engineering, Cairo University, Egypt, 2005.

Research Interests

Drilling Fluid Optimization
Wellbore Clean-up
Oil-Well Cementing
Application of Artificial Intelligence in Petroleum engineering
Geomechanics

Selected Publications

Gowida, A., Elkatatny, S.M., Gamal, H., “Unconfined Compressive Strength (UCS) Prediction in Real-Time While Drilling Using Artificial Intelligence Tools”, Neural Computing and Applications, 2021. (Q1), https://doi.org/10.1007/s00521-020-05546-7
Siddig, O., Mahmoud, A., Elkatatny, S.M., Soupios, P., “Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma-Ray”, Computational Intelligence and Neuroscience, 2021. (Q1), https://doi.org/10.1155/2021/2486046
Muhammed, N., Olayiwola, T., and Elkatatny, S.M., “A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids”, Journal of Petroleum Science and Engineering, 2021. (Q1), https://doi.org/10.1016/j.petrol.2021.109043
Muhammed, N., Olayiwola, T., Elkatatny, S.M., Haq, B., Patil, S., “Insights into the Application of Surfactants and Nanomaterials as Shale Inhibitors for Water-based Drilling Fluid: A Review”, Journal of Natural Gas Science and Engineering, 2021. (Q1), https://doi.org/10.1016/j.jngse.2021.103987
Adjei, S., Elkatatny, S.M., Sarmah, P., Abdelfattah, A., “Evaluation of calcined Saudi calcium bentonite as cement replacement in low-density oil-well cement system”, Journal of Petroleum Science and Engineering, 2021. (Q1), https://doi.org/10.1016/j.petrol.2021.108901
Bageri, B., Ahmed, A., Aljaberi, J., Elkatatny, S.M., Patil, S., “Effect of Perlite Particles on the Properties of Oil-Well Class G Cement”, Journal of Petroleum Science and Engineering, 2021. Q1, https://doi.org/10.1016/j.petrol.2021.108344

Research Profile:

Google Scholar: https://scholar.google.com/citations?user=OvBQk_oAAAAJ&hl=en
Scopus: https://www.scopus.com/authid/detail.uri?authorId=49863086000
Research Gate: https://www.researchgate.net/profile/Salaheldin_Elkatatny/research

Extended Publications (+)

Publications & Patents:

Granted Patents

Mahmoud, M., and Elkatatny, S.M., “Composition and method for removing oil-based filter cake”, US 10844278 B2, 2020.
Fadhel, R. and Elkatatny, S.M., “System, apparatus, and method for determining characteristics of rock samples”, US 10845293 B2. 2020.
Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method for drilling a wellbore with a weighted hydrogen sulfide scavenger fluid. US 10501676 B2.
Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method for drilling a hydrogen sulfide-containing formation. US 10,479,919.
Mahmoud, M., Elkatatny, S.M., and Mohammad, M. 2019. Organic acid fracturing fluid composition. US10,479,930.
Mahmoud, M., Elkatatny, S.M., and Ali, A. 2019. Method for making a drilling fluid composition and fracturing a subterranean formation. US 10,457,855
Mahmoud, M., Elkatatny, S.M., and Mohammad, M. 2019. Fracturing fluid composition containing an acrylamido-tert-butylsulfonate polymer. US 10435621.
Mahmoud, M., Elkatatny, S.M., and Ali, A. 2019. Method of forming a mixture of barite particles, chelating agent and bentonite for fracturing. US 10,358,593.
Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method of drilling a subterranean geological formation with a drilling fluid composition comprising copper nitrate. US 10,301,524.
Mahmoud, M., Elkatatny, S.M., and Ali, A. 2019. Method of fracturing a subterranean formation using micronized barite particles. US 10,179,874.
Mahmoud, M., Elkatatny, S. M., and Mohammad, M. 2018. Saltwater-based fracturing fluid. US 10,125,308.
Mahmoud, M., Elkatatny, S.M., and Mohammad, M. 2018. Glutamic diacetic acid-containing aqueous fluid composition. US 10, 119, 066 B1.
Mahmoud, M., Elkatatny, S.M., and Mohammad, M. 2018. Fracturing Fluid Composition and a Method of Fracturing a Subterranean Formation Using the Same. US 10047278 B1.
Elkatatny, S.M., and Mahmoud, M. 2017. Method for evaluating the effectiveness of matrix acidizing in a subterranean formation. US 9810063 B2.

Published Patent

Elkatatny, S.M., Mahmoud, M., Sultan, A., “Method of removing calcium-containing water-based filter cake using a biodegradable acid solution”, US Patent US 2021/0207020, 2021
Elkatatny, S.M., Mahmoud, M., Gamal, H., Sultan, A., “Method of removing iron-containing scale from a wellbore, pipe, or surface using a biodegradable descaler solution”, US Patent 20210207019A1, 2021
Elkatatny, S.M., Mohamed, A., Basfer”., S., “Method of removing calcium carbonate-containing oil-based filter cake using a biodegradable acid solution”, US Patent 20210222050 A1,
Elkatatny, S.M., “Weighted Drilling Fluid Containing Organophilic Phyllosilicate”, US 20210054255 A1, 2021.
Elkatatny, S.M., Mahmoud, A., Ahmed, A., “Cement compositions containing phyllosilicate and methods of use,” US 20210017083 A1,
Bageri, B., Mahmoud, M., Elkatatny, S.M., Patil, S., “Iron control composition, make, and use in carbonate stimulation”, US 20200332178 A1,
Mohamed A., Elkatatny, S.M., Mahmoud, M., “Water-based drilling, completion, and workover fluid composition with reduced barite sagging”, US 20200317981 A1,
Mahmoud, M., and Elkatatny, S.M., “Method of Removing Oil-Based Barite Filter Cake,” US 20200131432 A1, 2020.
Mohamed A., Mahmoud, M., Elkatatny, S.M., and Sultan, A., “Method of Producing Sodium Bentonite,” US 20200102226 A1, 2020
Mahmoud, M., and Elkatatny, S.M., “ Method for Removing Iron Sulfide and Calcium Carbonate Scale,” US 20200087568 A1, 2020
Elkatatny, S.M. Fadhel, R., and Mehibish, Y. 2019. Automated March Funnel for Oil and Gas Field Operations. US2019 /0323935 A1,
Elkatatny, S.M., and Mahmoud, M. 2019. Method of drilling a subterranean geological formation. US20190270925A1
Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method for Drilling A Wellbore with A Weighted Hydrogen Sulfide Scavenger Fluid. US 2019 /0218442A1.
Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method for drilling a hydrogen Sulfide-containing formation. US 2019 /0218441A1.
Fadhel, R. and Elkatatny, S.M. 2019. System, apparatus, and method for determing characteristics of rock samples. US 162644A1.
Mahmoud, M., and Elkatatny, S. M., and Ali, A. 2019. Method of Forming a Mixture of Barite Particles, Chelating Agent and Bentonite for Fracturing. US 2019/0119562A1.
Mahmoud, M., and Elkatatny, S. M., and Ali, A. 2019. Method for Making a Drilling Fluid Composition and Fracturing a Subterranean Formation. US 2019/0119561A1.
Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method of drilling a subterranean geological formation with a drilling fluid composition comprising copper nitrate. US 2019 /0100684A1.
Mahmoud, M., Elkatatny, S. M., and Mohammad, M. 2019. Fracturing fluid composition containing an acrylamido-tert-butylsulfonate polymer. US 2019 / 0055463A1.
Mahmoud, M., and Elkatatny, S. M., and Ali, A. 2019. Method of Producing Micronized Barite Particles. US 2019 /0023976A1.
Mahmoud, M., Elkatatny, S. M., and Mohammad, M. 2019. Organic acid Fracturing Fluid Composition. US20190016945A1.
Mahmoud, M., and Elkatatny, S. M. 2019. Composition and Method for Removing Oil – Based Filter Cake. US 2019/0016947A1.
Elkatatny, S. M., and Mahmoud, M. 2017. Method for Evaluating the Effectiveness of Matrix Acidizing in a Subterranean Formation. US2017/0138190A1
Mahmoud, M., and Elkatatny, S. M., and Ali, A. 2017. Method of Fracturing a Subterranean Formation Using Micronized Barite Particles. US 2017/0190955A1.
Al-Moajil, A., Elkatatny, S. M., and Nasr-El-Din, H. 2014. New Environmentally Friendly Fluid to Remove Mn₃O₄ Filter Cake. WO 2014/062992 Al.
Nasr-El-Din, H., De Wolf, C., and Elkatatny, S. M. 2013. One Step Process to Remove Filter Cake and Treat a Subterranean Formation with a Chelating Agent. WO 2013/160334 Al.

Publication:

2021

Ahmed, A., Basfar, S., Sollin, T., and Elkatatny, S.M., Prevention of Hematite Settling in Water-Based Mud at High-Pressure and High-Temperature”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c03818
Adjei, S., Elkatatny, S.M., Sarmah, P., Chinea, C., “Investigation of Dehydroxylated Sodium Bentonite as a Pozzolanic Extender in Oil-Well Cement”, SPE Drilling & Completion, 2021. https://doi.org/10.2118/205487-PA
Alsaihati, A., Elkatatny, S.M., “Real-Time Prediction of Acoustic Velocities while Drilling Vertical Complex Lithology Using AI Technique”, Petrophysicists, 2021. https://doi.org/10.30632/PJV62N3-2021a2
Ibrahim, A., Al Dhaif, R., Elkatatny, S.M., and Al Shehri, D., “Applications of Artificial Intelligence to Predict Oil Rate for High Gas Oil Ratio and Water Cut Wells”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c01676
Ahmed, A., Basfar, S., Elkatatny, S.M., “Sagging Prevention for Hematite-Based Invert Emulsion Mud”, Journal of Energy Resources Technology, 2021. https://doi.org/10.1115/1.4052181
Adjei, S., Elkatatny, S.M., “Overview of the lightweight oil-well cement mechanical properties for shallow wells”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2020.108201
Elkatatny, S.M., “Improved Carbonation Resistance and Durability of Saudi Class G Oil Well Cement Sheath in CO2 Rich Environments Using Laponite”, Journal of Petroleum Science and Engineering, 196:107812 2021. https://doi.org/10.1016/j.petrol.2020.107812
Gowida, A., Elkatatny, S.M., Gamal, H., “Unconfined Compressive Strength (UCS) Prediction in Real-Time While Drilling Using Artificial Intelligence Tools”, Neural Computing and Applications, 2021. https://doi.org/10.1007/s00521-020-05546-7
Mahmoud, A., AlAbduljabar, A., Elkatatny, S.M., “Artificial neural network model for real-time prediction of the rate of penetration while horizontally drilling natural gas-bearing sandstone formations”, Arabian Journal of Geosciences. 2021. https://doi.org/10.1007/s12517-021-06457-0
Ahmed, A., Elkatatny, S.M., Zaki, A., “Fracture Pressure Prediction Using Surface Drilling Parameters by Artificial Intelligence Techniques” Journal of Energy Resources Technology, 2021. https://doi.org/10.1115/1.4049125
Alsaihati, A., Elkatatny, S.M., Mahmoud, A., Abdulraheem, A., “Use of machine learning and data analytics to detect downhole abnormalities while drilling horizontal wells, with real case study,” Journal of Energy Resources Technology, 143(4): 043201, 2021. https://doi.org/10.1115/1.4048070
Alsaihati, A., Elkatatny, S.M., Abdulraheem, A., “Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c05570
Gamal, H., Elkatatny, S.M., Alafnan, S., Bahgat, M., “Development of A Unique Organic Acid Solution for Removing Composite Field Scales”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c04335
Gamal, H., Suleymanov, V., Elkatatny, S.M., Adebayo, A., Bageri, B., “The Impact of Weighting Materials on Carbonate Pore System and Rock Characteristics”, Canadian Journal of Chemical Engineering. 2021. https://doi.org/10.1002/cjce.24092
Bageri, B., Ahmed, A., Aljaberi, J., Elkatatny, S.M., Patil, S., “Effect of Perlite Particles on the Properties of Oil-Well Class G Cement”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.108344
Gamal, H., Bageri, B., Elkatatny, S.M., Shirish, P., “Investigating the Alteration of Sandstone Pore System and Rock Features by Role of Weighting Materials”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c06256
Adjei, S., Bageri, B., Elkatatny, S.M., Adebayo, A., “Effect of Perlite Particles on Barite Cement Properties”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c05699
Elkatatny, S.M., “Real-time prediction of rate of penetration while drilling complex lithologies using artificial intelligence techniques”. Ain Shams Engineering Journal. 2020. https://doi.org/10.1016/j.asej.2020.05.014
Alsabaa, A., Gamal, H., Elkatatny, S.M., Abdulraheem, A., “New Correlations for Better Monitoring the All-Oil Mud Rheology by Employing Artificial Neural Networks”, Flow Measurement and Instrumentation, 2021. https://doi.org/10.1016/j.flowmeasinst.2021.101914
Elkatatny, S.M., “Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks”, Arabian Journal for Science and Engineering, 2021. https://doi.org/10.1007/s13369-021-05465-2
Mahmoud, A., Alabduljabbar, A., Elkatatny, S.M., “Application of Machine Learning Models for Real-Time Prediction of the Formation Lithology and Tops from the Drilling Parameters”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.108574
Gamal, H., Elkatatny, S.M., Adebayo, A., “Influence of Mud Filtrate on the Pore System of Different Sandstone Rocks”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.108595
Ahmed, A., Elkatatny, S.M., Gamal, H., Abdulraheem, A., “Artificial Intelligence Models for Real-Time Bulk Density Prediction of Vertical Complex Lithology Using the Drilling Parameters”, Arabian Journal for Science and Engineering, 2021. https://doi.org/10.1007/s13369-021-05537-3
Ahmed, A., Elkatatny, S.M., Alafnan, S., “Applications of Biodiesel in Drilling Fluids”, Geofluids, 2021. https://doi.org/10.1155/2021/5565897
Ahmed, A., Elkatatny, S.M., Abdulraheem, A., “Real-Time Static Poisson’s Ratio Prediction of Vertical Complex Lithology from Drilling Parameters Using Artificial Intelligence Models”, Arabian Journal of Geosciences. 2021. https://doi.org/10.1007/s12517-021-06833-w
Mohamed, A., Basfar, S., Elkatatny, S.M., Al-Majed, A., “Enhancement of Static and Dynamic Sag Performance of Water-Based Mud Using a Synthetic Clay”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c06186
Gamal, H., Al-Afnan, S., Elkatatny, S.M., Bahgat, M., “Barium Sulfate Scale Removal at Low-Temperature”, Geofluids, 2021. https://doi.org/10.1155/2021/5527818
Gomaa, I., Gowida, A., Elkatatny, S.M., “The Prediction of Wellhead Pressure for Multiphase Flow of Vertical Wells Using Artificial Neural Networks”, Arabian Journal of Geosciences. 2021. https://doi.org/10.1007/s12517-021-07099-y
Adjei, S., Elkatatny, S.M., Sarmah, P., Abdelfattah, A., “Evaluation of calcined Saudi calcium bentonite as cement replacement in low-density oil-well cement system”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.108901
Ahmed, A., Elkatatny, S.M., Alsaihati, A., “Applications of Artificial Intelligence for Static Poisson’s Ratio Prediction While Drilling”, Computational Intelligence and Neuroscience, 2021. https://doi.org/10.1155/2021/9956128
Muhammed, N., Olayiwola, T., Elkatatny, S.M., Haq, B., Patil, S., “Insights into the Application of Surfactants and Nanomaterials as Shale Inhibitors for Water-based Drilling Fluid: A Review”, Journal of Natural Gas Science and Engineering, 2021. https://doi.org/10.1016/j.jngse.2021.103987
Abdelaal, A., Elkatatny, S.M., Abdulraheem, A., “Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c01340
Bageri, B., Gamal, H., Elkatatny, S.M., Patil, S., “Effect of Different Weighting Agents on Drilling Fluid and Filter Cake Properties in Sandstone Formations”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c02129
Alsabaa, A., and Elkatatny, S.M., “Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c01230
Adjei, S., Elkatatny, S.M., Al Majid, A., “Effect of Bentonite Prehydration Time on the Stability of Lightweight Oil-Well Cement System”, Geofluids, 2021. https://doi.org/10.1155/2021/9957159
Gamal, H., Alsaihati, A., Elkatatny, S.M., Abdulraheem, A., “Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real-Time”, Computational Intelligence and Neuroscience, 2021. https://doi.org/10.1155/2021/9960478
Siddig, O., Gamal, H., Elkatatny, S.M., Abdulraheem, A., “Real-time Prediction of Poisson’s Ratio from Drilling Parameters Using Machine Learning Tools”, Scientific Report, 2021. https://doi.org/10.1038/s41598-021-92082-6
Ibrahim, A., and Elkatatny, S.M., “Real-Time GR logs Estimation While Drilling Using Surface Drilling Data; AI Application”, Arabian Journal for Science and Engineering, 2021. https://doi.org/10.1007/s13369-021-05854-7
Gamal, H., and Elkatatny, S.M., “Prediction Model Based on an Artificial Neural Network for Rock Porosity”, Arabian Journal for Science and Engineering, 2021. https://doi.org/10.1007/s13369-021-05912-0
Gamal, H., Alsaihati, A., Elkatatny, S.M., Haidary, S., Abdulraheem, A., “Rock Strength Prediction in Real-Time while Drilling Employing Random Forest and Functional Network Techniques”, Journal of Energy Resources Technology, 2021. (IF = 2.759, Q3), https://doi.org/10.1115/1.4050843
Muhammed, N., Olayiwola, T., and Elkatatny, S.M., “A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.109043
Osman, H., Ali, A., Mahmoud, A., Elkatatny, S.M., “Estimation of the Rate of Penetration while Horizontally Drilling Carbonate Formation Using Random Forest”, Journal of Energy Resources Technology, 2021. https://doi.org/10.1115/1.4050778
Mahmoud, A., Elkatatny, S.M., ” Novel Empirical Correlation for Estimation of the Total Organic Carbon in Devonian Shale from the Spectral Gamma-Ray and Based on the Artificial Neural Networks “, Journal of Energy Resources Technology, 2021. https://doi.org/10.1115/1.4050777
Siddig, O., Mahmoud, A., Elkatatny, S.M., Soupios, P., “Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma-Ray”, Computational Intelligence and Neuroscience, 2021. https://doi.org/10.1155/2021/2486046

2020

Elkatatny, S.M. Gajbhiye, R., Ahmed, A. Mahmoud, A.A., “Enhancing the Cement Quality Using Polypropylene Fibers,” Journal of Petroleum Exploration and Production Technology. 10, pages1097–1107. 2020. https://doi.org/10.1007/s13202-019-00804-4
Elkatatny, S.M., Ahmed, A., Abughaban, M., Patil, S., “Deep Illustration for Loss of Circulation while Drilling; Review Paper,” Arabian Journal for Science and Engineering. 45, pages483–499. 2020. https://doi.org/10.1007/s13369-019-04315-6 4
Gowida, A., Elkatatny, S.M., Al-Afnan, S., and Abdulraheem, A., “New Computational Artificial Intelligence Models for Generating Synthetic Formation Bulk Density Logs While Drilling,” Sustainability. 12(2), 686. 2020. https://doi.org/10.3390/su12020686
Mahmoud, A.A., and Elkatatny, S.M., “Improving Class G Cement Carbonation Resistance for Applications of Geologic Carbon Sequestration Using Synthetic Polypropylene Fiber,” Journal of Natural Gas Science and Engineering. 76: 103184. 2020. https://doi.org/10.1016/j.jngse.2020.103184
Mohamed, A., Elkatatny, S.M., Al-Majed, A., “Removal of Calcium Carbonate Water-Based Filter Cake Using a Green Biodegradable Acid,” Sustainability. 12(3), 994. 2020. https://doi.org/10.3390/su12030994
Al-AbdulJabbar, A., Mahmoud, A., Elkatatny, S.M., Moussa, T., Al-Shehri, D., Abughaban, M., Al-Yami, A., “Prediction of the Rate Penetration while Drilling Horizontal Carbonate Reservoirs Using a Self-Adaptive Artificial Neural Network Technique,” Sustainability. 12(4), 1376. 2020. https://doi.org/10.3390/su12041376
Gomaa, I., Elkatatny, S.M., and Abdulraheem, A., “Real-Time Determination of Rheological Properties of High Over-Balanced Drilling Fluid Used for Drilling Ultra-Deep Gas Wells Using Artificial Neural Network,” Journal of Natural Gas Science and Engineering. 77, 103224. 2020. https://doi.org/10.1016/j.jngse.2020.103224
Mahmoud, A., Elkatatny, S.M., Elzenary, M., “New Hybrid Hole Cleaning Model for Vertical and Deviated Wells,” Journal of Energy Resources Technology. 142(3): 034501. 2020. https://doi.org/10.1115/1.4045169
Mahmoud, A., Elkatatny, S.M., Al Shehri, D., “Application of machine Learning for Evaluation of the Static Young’s Modulus for Sandstone Reservoirs,” Sustainability. 12(5), 1880. 2020. https://doi.org/10.3390/su12051880
Bageri, B. Benaafi. M., Mahmoud, M., Shirish, P. Mohamed, A., Elkatatny, S.M., “Effect of Formation Cutting’s Mechanical Properties on Drilling Fluid Properties during Drilling Operations,” Arabian Journal for Science and Engineering. 2020. https://doi.org/10.1007/s13369-020-04424-7
Elkatatny, S.M., “Artificial Neural Network Models for Real-Time Prediction of the Rheological Properties of NaCl Mud. Arabian Journal of Geosciences. 13, 257. 2020. https://doi.org/10.1007/s12517-020-5268-1
Alsabaa, A., Gamal, G., Elkatatny, S.M., and Abdulraheem, A., “Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System,” Sensors. 20(6), 1669. 2020. https://doi.org/10.3390/s20061669
Gamal, G., Elkatatny, S.M., Al Shehri, D. and Bahgat, M., “A Novel Non Corrosive Dissolver for Sulfate and Sulfide Mixture Composite Scale at Low-Temperature Conditions,” Sustainability. 12(6), 2455. 2020. https://doi.org/10.3390/su12062455
Mohamed, A., Al-Afnan, S., Elkatatny, S.M., Hussein, I., “Prevention of Barite Sag in Water-Based Drilling Fluids by A Urea-Based Additive for Drilling Deep Formations,” Sustainability, 12(7), 2719, 2020. https://doi.org/10.3390/su12072719
Elkatatny, S.M., AL-Abduljabbar, A., Abdelgawad, K., “A New Model for Predicting Rate of Penetration Using an Artificial Neural Network,” Sensors. 20(7), 2058; 2020. https://doi.org/10.3390/s20072058 (IF =, Q1).
Mohamed. A., Elkatatny, S.M., Shawabkeh, R., and Al-Majed, A., “Evaluating the Effect of Using Micronised Barite on the Properties of Water-Based Drilling Fluids,” International Journal of Oil Gas and Coal Technology. 2020. https://doi.org/10.1504/IJOGCT.2019.10023631
Siddig, O., Al-Afnan, S., Elkatatny, S.M., and Bahgat, M., “Novel Cake Washer for Removing Oil-Based Calcium Carbonate Filter Cake in Horizontal Wells,” Sustainability, 12(8), 3427, 2020. https://doi.org/10.3390/su12083427
Basfar, S., Mohamed, A., Elkatatny, S.M., “Barite-Micromax Mixture, an Enhanced Weighting Agent for the Elimination of Barite Sag in Invert Emulsion Drilling Fluids,” Journal of Petroleum Exploration and Production Technology, 10, 2427–2435, 2020. https://doi.org/10.1007/s13202-020-00892-7
Siddig, O., Mahmoud, A., Elkatatny, S.M., “A Review of Different Approaches for Water-Based Drilling Fluid Filter Cake Removal,” Journal of Petroleum Science and Engineering, 192, 107346, 2020. https://doi.org/10.1016/j.petrol.2020.107346
Gowida, A., Elkatatny, SM., Abdelgawad, A., Gajbhiye, R., “Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks,” Sensors, 20(10), 2787; https://doi.org/10.3390/s20102787
Gamal, H., Elkatatny, S.M., Abdulraheem, A., Al-Majed, A., “Exposure Time Impact on the Geomechanical Characteristics of Sandstone Formation During Horizontal Drilling. Molecules, 25(11), 2480, 2020. https://doi.org/10.3390/molecules25112480
AL-Abduljabbar, A., Alazani, K., and Elkatatny, S.M., “Estimation of Reservoir Porosity from Drilling Parameters Using Artificial Neural Networks,” Petrophysics. 61(3):318-330, 2020. https://doi.org/10.30632/PJV61N3-2020a5
Basfar, S., Elkatatny, S.M., “Prevention of Hematite Settling Using Synthetic Layered Silicate while Drilling High-Pressure Wells,” Arabian Journal of Geosciences. 2020. https://doi.org/10.1007/s12517-020-05516-2
Elkatatny, S.M., “Real-Time Prediction of Rate of Penetration in S-Shape Well Profile Using Artificial Intelligence Models”, Sensors, 20(12), 3506. 2020. https://doi.org/10.3390/s20123506
Gowida, A., and Elkatatny, S.M., “Prediction of Sonic Waves Transit-Time from Drilling Parameters while Horizontal Drilling in Carbonate Rocks Using Neural Network,” Petrophysics, 61, 5: 482 – 494, 2020. https://doi.org/10.30632/PJV61N5-2020a6
Al-AbdulJabbar, A., Gamal, H., Elkatatny, S.M., “Application of Artificial Neural Network to Predict the Rate of Penetration for S-shape Well Profile”, Arabian Journal of Geosciences, 13, 784 2020. (IF = 1.141, Q4). https://doi.org/10.1007/s12517-020-05821-w
Hassan, A., Elkatany, S.M., and Al-Majed, A, “Coupling Rate of Penetration and Mechanical Specific Energy to Improve the Efficiency of Drilling Gas Wells”, Journal of Natural Gas Science and Engineering, 38:103558, 2020. https://doi.org/10.1016/j.jngse.2020.103558
Ahmed, A., Elkatatny, S.M., Zaki, A., Abughaban, M., and Abdulraheem, A., “Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors”, Journal of Sensors, 8851065, 2020. https://doi.org/10.1155/2020/8851065
Ahmed, A., Mahmoud, A., Elkatatny, S.M., Gajbhiye, R., “Improving Saudi Class G Oil-Well Cement Properties Using Tire Waste Material”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c04270
Ahmed, A., Elkatatny, S.M., Adjei, S., Al-Majed, A. “Influence of Weighting Materials on the Properties of Oil-Well Cement”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c04186
Ahmed, A., Alsaihati, A., Elkatatny, S.M., “An Overview of the Common Water-Based Formulations Used for Drilling Onshore Gas Wells in The Middle East”, Arabian Journal for Science and Engineering, 2020. https://doi.org/10.1007/s13369-020-05107-z
Ahmed, A., Basfar, S., Elkatatny, S.M., “Stability Enhancing of Water-Based Drilling Fluid at High Pressure High Temperature”, Arabian Journal for Science and Engineering, 2020. https://doi.org/10.1007/s13369-020-05126-w
Adjei, S., Elkatatny, S.M., Abdelfattah, A., “New lightweight cement formulation for shallow oil and gas wells”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c05174
Mohamed, A., Basfar, S., Elkatatny, S.M., Bageri, B., “Impact of Perlite on the Properties and Stability of Water-Based Mud in Elevated-Temperature Applications”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c04853
Ahmed, A., Mahmoud, A., Elkatatny, S.M., “The Use of Granite Waste Material as an Alternative for Silica Flour in Oil-Well Cementing”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c04261
Ahmed, A., Basfar, S., Elkatatny, S.M., Gajbhiye, R., “Enhancing Hematite-Based Invert Emulsion Mud Stability at High-Pressure High-Temperature Wells”, ACS Omega. https://doi.org/10.1021/acsomega.0c05068
Adjei, S., and Elkatatny, S.M., “A highlight on the application of industrial and agro wastes in cement-based materials”, Journal of Petroleum Science and Engineering, 195, 107911, 2020. https://doi.org/10.1016/j.petrol.2020.107911
Mahmoud, A., Elkatatny, S.M., “Improved durability of Saudi Class G oil-well cement sheath in CO2 rich environments using olive waste”, Construction and Building Materials, 262, 120623, 2020. https://doi.org/10.1016/j.conbuildmat.2020.120623
Gamal, H., Elkatatny, S.M., Adebayo, A., Bageri, B., “Effect of Exposure Time on the Compressive Strength and Formation Damage of Sandstone while Drilling Horizontal Wells”, Journal of Petroleum Science and Engineering, 195, 107590, 2020. https://doi.org/10.1016/j.petrol.2020.107590
Gamal, H., Elkatatny, S.M., Abdulraheem, A., “Effect of Filtrate Fluid of Water-based Mud on Sandstone Rock Strength and Elastic Moduli”, ACS Omega. https://doi.org/10.1021/acsomega.0c05067

Conference Papers

Gamal, H., Elkatatny, S.M., and Alsabaa, A., “Generation of a Complete Profile for Porosity Log while Drilling Complex Lithology by Employing the Artificial Intelligence”, Paper will be presented at the SPE Symposium: Artificial Intelligence – Towards a Resilient and Efficient Energy Industry, Al Khobar, Saudi Arabia, 18 – 19 October 2021.
Mahmoud, A.A., Elkatatny, S.M., Ali, A., Abdulraheem, A., Abouelresh, M., “New Robust Models To Evaluate The Total Organic Carbon Using Fuzzy Logic”, Paper accepted for the 14th Middle East Geosciences Conference and Exhibition, Bahrain, October, 4 – 7, 2021.
Mahmoud, A.A., Al-AbdulJabbar, A., Elkatatny, S.M., “Application of Machine Learning Models for Real-Time Prediction of the Formations Lithology and Top from the Drilling Parameters”, Paper accepted for the international conference on Oil & Gas Engineering and Technology, Kuching, Malaysia, July 13 -15, 2021.
Abelaal, A., and Elkatatny, S.M., Abdulraheem, A., “Real-Time Formation Pressure Prediction While Drilling from Mechanical and Hydraulic Drilling Parameters Using Artificial Intelligence”, Paper ARAMA 21-1987 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Ahmed, A., Bageri, B., Aljaberi, J., and Elkatatny, S.M., Patil, S. “Improvement of Well Cementing Properties Using Perlite Particles”, Paper ARAMA 21-1666 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Ahmed, A., Mahmoud, A., and Elkatatny, S.M., Al-Majed, A., “Evaluation of Granite Waste and Silica Flour in Oil Well Cementing”, Paper ARAMA 21-1663 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Siddig, O., Gamal, H., and Elkatatny, S.M., Abdulraheem, A., “Novel Prediction of Poisson`s Ratio on Real-time from Drilling Parameters Using Artificial Intelligence”, Paper ARAMA 21-1664 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Ahmed, A., and Elkatatny, S.M., Gamal, H., Abdulraheem, A., “Bulk Density Prediction While Drilling Complex Lithology Using Functional Networks Model”, Paper ARMA 21-1668 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Gamal, H., Abdelaal, Al., Alsaihati, A., and Elkatatny, S.M., Abdulraheem, A., “Artificial Neural Network Model for Predicting the Equivalent Circulating Density from Drilling Parameters”, Paper ARMA 21-1916 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Gamal, H., Gowida, A., and Elkatatny, S.M., Abdulraheem, A., Haidary, S., “Generating the Rock Strength Profile While Drilling Complex Lithologies in real-time by Employing Artificial Neural Networks”, Paper ARMA 21-1914 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Gamal, H., and Elkatatny, S.M., Bageri, B., Adebayo, A., Babu, R., Hussaini, S., “Extended Exposure Time Control on Sandstone Pore System and Rock Strength While Drilling Horizontal Wells”, Paper ARMA 21-1918 will be present at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Mahmoud, A., Gamal, H., Mutrif, O., and Elkatatny, S.M., “Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks”, Paper ARMA 21-1907 will be present at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Mahmoud, A., Elzenary, M, El-Malki, M., and Elkatatny, S.M., Abughaban, M., “New Hybrid Hole Cleaning Model for Vertical and Deviated Wells”, Paper ARMA 21-1904 will present at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Mahmoud, A., Elkatatny, S.M., Al Shehri, D., “Estimation of the Static Young’s Modulus for Sandstone Reservoirs Using Different Artificial Intelligence Techniques and Based on Well Logs”, Paper ARMA 21-1901 will present at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
Gamal, H., Elkatatny, S.M., Al Shehri, D., and Bahgat, M., “Dissolution of Sulfates and Sulfides Field Scales by Developed Scale Dissolver”, Paper SPE-205038-MS will be presented at the SPE International Oilfield Corrosion Conference and Exhibition, in Aberdeen, Scotland, United Kingdom, 16-17 June 2021.
Gamal, H., Elkatatny, S.M., Al-Afnan, S., and Bahgat, M., “Toward Developing Non-Corrosive Acid System for Complex Scales Removal”, Paper IPTC-21400-MS will be presented at the International Petroleum Technology Conference (IPTC), 23 March-1 April 2021. Virtual.
Gamal, H., Elkatatny, S.M., Al-Afnan, S., and Bahgat, M., “Increasing ESP Lifetime by Employing Novel Non-Corrosive Acid System for Scales Removal”, Paper SPE-204405-MS will be presented at the SPE/ICoTA Well Intervention Conference & Exhibition, The Woodlands, Texas, USA. 23-24 March 2021.
Ahmed, A., Gowida, A., Elkatatny, S.M., Al Shehri, D., Abdulraheem, A., “Prediction of Lost Circulation Zones Using Artificial Neural Network and Functional Network”, Paper SPE-200047-MS, will be presented at Oman Petroleum & Energy Show, Muscat, Oman, 9-11 March 2021.
Mahmoud, A.A., Elkatatny, S.M., Ali, A. and Moussa, T., “A Self-adaptive Artificial Neural Network Technique to Estimate Static Young’s Modulus Based on Well Logs”, Paper SPE-200139-MS will be presented at Oman Petroleum & Energy Show, Muscat, Oman, 9-11 March 2021.https://doi.org/10.2118/203268-MS
Ahmed, A., Elkatatny, S.M., Abdulraheem, A., “Prediction of Lost Circulation Zones Using Artificial Neural Network and Functional Network”, Paper SPE-203268-MS presented at Abu Dhabi International Petroleum Exhibition & Conference, November 2020. https://doi.org/10.2118/203268-MS
Gamal, H., Elkatatny, S.M., Abdulraheem, A., “Rock Drillability Intelligent Prediction for a Complex Lithology Using Artificial Neural Network”, Paper SPE-203268-MS presented at Abu Dhabi International Petroleum Exhibition & Conference, November 2020.
Al Gharbi, S., Al-Majed, A., Abdulraheem, A., Patil, S., Elkatatny, S.M., “Using Data-Mining CRISP-DM Methodology to Predict Drilling Troubles in Real-Time”, Paper SPE-202326-MS presented at SPE Asia Pacific Oil & Gas Conference and Exhibition, November 2020. https://doi.org/10.2118/202326-MS
Basfar, S.A., Elkatatny, S.M., and Mohamed, A., “Preventing Barite Sagging Using New Synthetic Layered Silicate in HP/HT Water-Based Mud”, Paper ARMA-2020-1702 presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, 28 June – 1 July, 2020.
Alsabaa, A., Gamal, H.A., Elkatatny, S.M., and Abdulraheem, A., “Real-Time Prediction of Rheological Properties of All-Oil Mud Using Artificial Intelligence”, Paper ARMA-2020-1645 presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, 28 June – 1 July, 2020.
Mahmoud, A.A., Elkatatny, S.M., Al-AbdulJabbar, A., Moussa, T., Gamal, H., and Shehri, D.A., “Artificial Neural Networks Model for Prediction of the Rate of Penetration While Horizontally Drilling Carbonate Formations”, Paper ARMA-2020-1694 presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, 28 June – 1 July, 2020.
Mahmoud, A.A., Elkatatny, S.M., Alsabaa, A., and Shehri, D.A., “Functional Neural Networks-Based Model for Prediction of the Static Young’s Modulus for Sandstone Formations”, Paper ARMA-2020-1689 presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, 28 June – 1 July, 2020.
Gamal, H., Abdelgawad, K., Elkatatny, S.M. 2020. New Environmentally Friendly Solution for Iron Scale Removal. Paper IPTC-19800-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
Gowida, A., Elkatatny, S.M., Abdulraheem, A., and Shehri, D. 2020. Synthetic Well-Log Generation: New Approach to Predict Formation Bulk Density While Drilling Using Neural Networks and Fuzzy Logic. Paper IPTC-19787-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
Ahmed, A., Elkatatny, S.M., Abdulraheem, A., Aboughaban, M. 2020. Prediction of Lost Circulation Zones using Support Vector Machine and Radial Basis Function. Paper IPTC-19628-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
Mahmoud, A., Elkatatny, S.M., Ali, A., Abdulraheem, A. Abouelresh, M. 2020. Estimation of the Total Organic Carbon Using Functional Neural Networks and Support Vector Machine. Paper IPTC-19659-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
Gowida, A., Elkatatny, S.M., Moussa, T. 2020. Comparative Analysis Between Different Artificial Based Models for Predicting Static Poisson’s Ratio of Sandstone Formations. Paper IPTC-20208-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
Basfar, S., Elkatatny, S.M., Al-Majed, A., and Shehri, D. 2020. Prevention of Barite Sagging for Invert Emulsion Drilling Fluid While Drilling High-Pressure High-Temperature Wells. Paper IPTC-20095-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.

Awards & Honors

Certified Instructor for RigPass from the International Association of Drilling Contractors (IADC), (2021).
Certified Instructor for Well Control from the International Association of Drilling Contractors (IADC), (2020).
University Excellence in Teaching Award for the College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals (2020).
University Excellence in Advising Award for the College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals (2019).
Third Position in the First Stage of the Paper Contest Competition, Texas A&M (2012).
Awarded a Graduate Research Assistantship, Texas A&M University, USA, (2010).
Schlumberger Scholarship Award, (2005).
Schlumberger Distinguished Student Award, (2003).

Tel: +966 (013) 860-2604

Fax: +966 (013) 860-4447

Email: aazeez@kfupm.edu.sa

Location: Bldg. 76, Rm. 2129

Dr. Abdulazeez Abdulraheem

Professor, Department of Petroleum Engineering

Dr. Abdulazeez Abdulraheem is an Associate Professor focusing mainly on geomechanics and the applications of artificial intelligence in different areas of petroleum engineering. Before joining the department, he has worked as a Research Engineer in the Research Institute at KFUPM for almost 18 years addressing field challenges in areas such as wellbore instability, sand production, and experimental rock mechanics.

Educational Qualification

Ph.D. in Geotechnical Engineering, GPA 4.0/4.0, University of Oklahoma, Norman, OK, USA. – 1994.
M.E., in Civil Engineering, Indian Institute of Science, Bangalore, India. – 1985.
B.E., in Civil Engineering, Osmania University, Hyderabad, India. – 1983.

Research Interests

Geomechanics in Petroleum Engineering
Artificial Intelligence applications in Petroleum Engineering

Selected Publications

Abdulraheem, A., M. Zaman, and J.-C. Roegiers (1993). A Finite Element Model for Ekofisk Field Subsidence, Journal of Petroleum Science and Engineering, Vol. 19, pp. 299-310.
Zaman, M., J.-C. Roegiers, A. Abdulraheem, and M. Azeemuddin (1994). Pore collapse in Weakly cemented and porous Rocks, ASME Journal of Energy Resources Technology, June, Vol. 116, pp. 97-103.
Hassan, H.M., Korvin, G., and A. Abdulraheem (2001). Fractal and Genetic Aspects of Khuff Reservoir Stylolites, Eastern Saudi Arabia. Arabian Journal of Science and Engineering Journal. 27(2001): 29-56.
Korvin, G., Mohiuddin, M.A., A. Abdulraheem (2001). Experimental Investigation of the Fractal Dimension of the Pore Surface of Sedimentary Rocks under Pressure. Geophysical Transactions, 44 (2001): 3-19.
Mohiuddin, M.A., K. Khan, A. Abdulraheem, A. Al-Majed, and M.R. Awal (2007). Analysis of wellbore instability in vertical, directional, and horizontal wells using field data. Journal of Petroleum Science and Engineering. 55 (2007). pp. 83-92.
M.A. Al-Marhoun, S. Nizamuddin, A.A. Abdul Raheem, S. Shujath Ali, A.A. Muhammadain. (2012). Prediction of crude oil viscosity curve using artificial intelligence techniques. Journal of Petroleum Science and Engineering 86-87 (2012) 111–117.
Anifowose F., J. Labadin, A. Abdulraheem, Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks, In: Trends and Applications in Knowledge Discovery and Data Mining, Lecture Notes in Computer Science Volume 7867, 2013, pp 71-82.
G. Korvin, Oleschko, K., and A. Abdulraheem (2013). A simple geometric model of sedimentary rock to connect transfer and acoustic properties. Arabian Journal of Geosciences. February 2013.
Ali, S.S., S. Nizamuddin, A. Abdulraheem, M. R. Hassan, M. E. Hossain. (2013). Hydraulic unit prediction using support vector machine. Journal of Petroleum Science and Engineering. 110 (2013) pp 243–252.
F. Anifowose, J. Labadin, and A. Abdulazeez. (2013). “A Least Square-driven Functional Networks Type-2 Fuzzy Logic Hybrid Model for Efficient Petroleum Reservoir Properties Prediction”, Neural Computing and Applications, DOI 10.1007/s00521-012-1298-2, 2013.
Ali, S.S., S. Nizamuddin, A. Abdulraheem, M. R. Hassan, M. E. Hossain. (2013). Hydraulic unit prediction using support vector machine, Journal of Petroleum Science and Engineering Volume 110, Pages 243-252.
Al-Marhoun, M. A., S. S. Ali, A. Abdulraheem, S. Nizamuddin, A. Muhammadain (2014) Prediction of bubble point pressure from composition of black oils using artificial neural network, Petroleum Science and Technology, 32:14, 1720-1728.
F. Anifowose, S. Adeniye and A. Abdulraheem (2014), “Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterization: a comparative study”, Journal of Experimental & Theoretical Artificial Intelligence, 2014. doi = 10.1080/0952813X.2014.924577.
Anifowose, F., J. Labadin, A. Abdulraheem (2015). Ensemble Model of Non-linear Feature Selection-Based Extreme Learning Machine for Improved Natural Gas Reservoir Characterization. Journal of Natural Gas Science & Engineering. doi:10.1016/j.jngse.2015.02.012.
Abdlmutalib, A, O. Abdullatif, G. Korvin, and Abdulraheem. (2015). The relationship between lithological and geomechanical properties of tight carbonate rocks from Upper Jubaila and Arab-D Member outcrop analog, Central Saudi Arabia. Arabian Journal of Geosciences. May 2015. DOI 10.1007/s12517-015-1957-6.
Adebayo, A. R., A. Abdulraheem, S.O. Olatunji. (2015). Artificial Intelligence Based.
A. Al-Ameri, A. Abdulraheem, M. Mahmoud. Long-Term Effects of CO2 Sequestration on Rock Mechanical Properties. Journal of Energy Resources Technology. J. Energy Resour. Technol 138(1), 012201 (Dec 01, 2015). Paper No: JERT-15-1186; doi: 10.1115/1.4032011.
Anifowose, F.A., J. Labadin, A. Abdulraheem (2016). Hybrid intelligent systems in petroleum reservoir characterization and modeling: the journey so far and the challenges ahead. Journal of Petroleum Exploration and Production Technology. doi:10.1007/s13202-016-0257-3. Jun. 2016.
Anifowose, F. S. Adeniye, A. Abdulraheem, A. Al-Shuhail (2016). Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models. Journal of Petroleum Science and Engineering 145. Sep. 2016. pp 230–237.
Elkatatny, S., M. Mahmoud, I. Mohamed, A. Abdulraheem (2017). Development of a new correlation to determine the static Young’s modulus. Journal of Petroleum Exploration and Production Technology. doi:10.1007/s13202-017-0316-4.
Elkatatny, S., Mahmoud, M., Z. Tariq, A. Abdulraheem.(2017) New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. Neural Computing & Applications (2017). doi:10.1007/s00521-017-2850-x.
Elkatatny, S.M., Mahmoud, M.A., Mohamed, I., and Abdulraheem, A. 2017. Development of A New Correlation to Determine the Static Young’s Modulus”, Journal of Petroleum Exploration and Production Technology, In Press.

Awards & Honors

2003 – Project Manager of the team awarded for Best Research Team Award of the Research Institute, KFUPM for the project, “Wellbore Instability – Khafji Reservoir (Phase II)”.
2002 – Best Research Project Manager Award of the Research Institute, KFUPM for the project, “Wellbore Instability – Khafji Reservoir (Phase I)”.
1999 – Project Manager of the team awarded for Best Research Team Award of the Research Institute, KFUPM for the project, “Rock Mechanics Study of Ghawar Khuff Reservoirs” (PN 21148).
1999 – Member of the team for Best Short Course Award by KFUPM.
1993 – Best paper award by “Indian Geotechnical Journal”.

Tel: +966 (013) 860-7560

Fax: +966 (013) 860-4447

Email: awotunde@kfupm.edu.sa

Location: Bldg. 76, Rm. 2125

Dr. Abeeb Awotunde

Professor, Department of Petroleum Engineering

Dr. Awotunde is a Professor in the Petroleum Engineering Department at KFUPM. Since joining KFUPM in 2010, he has taught undergraduate and graduate courses in Reservoir Simulation, Flow in Porous Media, Reservoir Description, and Well Test Analysis. He has also taught the graduate course in Mathematical Methods in Petroleum Engineering.

http://faculty.kfupm.edu.sa/PET/awotunde/home.html

Educational Qualification

Ph.D., Petroleum Engineering, Stanford University, USA, 2010.
M.S., Petroleum Engineering, KFUPM, KSA, 2006.
B.Sc., Petroleum Engineering, University of Ibadan, Nigeria, 2002

Research Interests

Reservoir Simulation, Parameter Estimation, and Uncertainty Analysis
Field Development Optimization
Groundwater Flow and Contaminant Transport
Well Test Analysis

Selected Publications

Awotunde, A. A. 2017. GLOCAL: A Global-Local Optimization Template for Multiple History-Matched Reservoir Parameters, JPSE, 154: 1-18.
Khan, R. A., and Awotunde, A. A. 2016. Optimal Parameters Selection for SAGD and VAPEX Processes, J. of Petrol Explor Prod Tech., 1-22.
Rammay, M. H., and Awotunde, A. A. 2016. Stochastic Optimization of Hydraulic Fracture and Horizontal Well Parameters in Shale Gas Reservoirs, J. of Nat. Gas Sci. and Engr., 13(3): 71-78.
Zhang, X. and Awotunde, A. A. 2016. Improvement of Levenberg-Marquardt Algorithm during History Fitting for Reservoir Simulation, Petroleum Exploration, and Development, 43(5): 876-885.
Mehmood, S. and Awotunde, A. A. 2016. Sensitivity-based Upscaling for History Matching of Reservoir Models, Petroleum Science, 13(3): 517-531.
Zaza, A., Awotunde, A. A., Fairag, F. A. and Al-Mouhamed, M. A. 2016. A CUDA based Parallel Reservoir Simulator, Computer Physics Communications, 206(2016): 2-16.
Awotunde, A. A., Ghanam, R. A., Al-Homidan S. and Tatar, N. M. 2016. Numerical Schemes for Anomalous Diffusion of Single-Phase Fluids in Porous Media, CNSNS, 39: 381-395.
Awotunde, A. A. 2016. Generalized Field-Development Optimization with Well-Control Zonation, Comput Geosci, 20: 213-230.
Awotunde, A. A., Ghanam, R. A. and Tatar, N. M. 2015. Artificial boundary condition for a modified fractional diffusion problem, Boundary Value Prob, 2015:20.
Awotunde, A. A. 2015. Estimation of Well Test Parameters Using Global Optimization Techniques, JPSE, 125: 269-277.
Sibaweihi, N., Awotunde, A. A., Sultan, A. S. and Al-Yousef, H. Y. 2015. Sensitivity Studies and Stochastic Optimization of CO2-Foam Flooding, Comput Geosci, 19(1): 31-47.

Tel: (013) 860-7981

Email: ruud.weijermars@kfupm.edu.sa

Location: Bldg. 76, Rm. 2155

Dr. Ruud Weijermars

Professor, Program Leader – Geomechanics, CIPR, Department of Petroleum Engineering

Weijermars conducts original research in petroleum engineering to develop new tools and methods related to the quantification and visualization of (1) fluid flow in porous media, and (2) fracture propagation. He has developed new production forecasting tools and reserves estimation methods to support industry, with a heavy focus on unconventional resource development. Prior to joining KFUPM in 2021, Weijermars worked at Texas A&M University and the Bureau of Economic Geology, UT Texas at Austin — he was a postdoc at ETH Zurich in the late 1980s.

Educational Qualification

Habilitation, Uppsala University
Ph.D. in Geodynamics, Uppsala University
MS in Geosciences, University of Amsterdam
BS in Geosciences, University of Amsterdam

Research Interests

Flow in Fractured Porous Media
Hydraulic Fracture Propagation
Wellbore Stability under Anisotropy
Production Forecasting and Reserves Estimation

Selected Publications

• Weijermars, R., 2020. Improving Well Productivity – Ways to Reduce the Lag between the Diffusive and Convective Time of Flight in Shale Wells. Journal of Petroleum Science and Engineering. doi: 10.1016/j.petrol.2020.107344
• Weijermars, R., Pham, T., and Ettehad, M., 2020. Linear Superposition Method (LSM) for Solving Stress Tensor Fields and Displacement Vector Fields: Application to Multiple Pressure-Loaded Circular Holes in an Elastic Plate with Far-Field Stress. Applied Mathematics and Computation, Volume 381, 125234. https://doi.org/10.1016/j.amc.2020.125234
• Weijermars, R., Nandlal, K., Tugan, M.F., Dusterhoft, R., and Stegent, N., 2020. Hydraulic Fracture Test Site Drained Rock Volume and Recovery Factors Visualized by Scaled Complex Analysis Models: Emulating Multiple Data Sources (production rates, Water Cuts, Pressure Gauges, Flow Regime Changes, and b-sigmoids). Unconventional Resources Technology Conference held in Austin, Texas, USA, 20-22 July 2020, URTeC 2020-2434. A
• Weijermars, R., Wang, J., and Pham, T., 2020. Borehole failure mechanisms in naturally and hydraulically fractured formations investigated with a fast time-stepped linear superposition method (TLSM). ARMA 20-1999.
• Pham, T., and Weijermars, R., 2020. Solving Stress Tensor Fields around Multiple Pressure-Loaded Fractures using a Linear Superposition Method (LSM). Applied Mathematical Modeling, Volume 88, December 2020, Pages 418-436. https://doi.org/10.1016/j.apm.2020.06.041
• Weijermars, R., Wang, J., and Nelson, R., 2020. Elastic Anisotropy in shale formations and its effect on near-borehole stress fields and failure modes. Earth-Science Reviews, Volume 200, article id. 102957. doi:10.1016/j.earscirev.2019.102957.
• Weijermars, R., and Ettehad, M., 2019. Displacement field potentials for deformation in elastic media: Theory and Application to Pressure-Loaded Boreholes. Applied Mathematics and Computation, vol. 340, p. 276–295.
• Khanal, A., and Weijermars, R. 2019. Pressure Depletion and Drained Rock Volume (DRV) near Hydraulically Fractured Parent and Child Wells (Eagle Ford Formation). Journal of Petroleum Science and Engineering, vol. 172, p. 607-626.
• Harmelen, A. and Weijermars, R. 2018. Complex analytical solutions for flow in hydraulically fractured hydrocarbon reservoirs with and without natural fractures. Applied Mathematical Modelling, vol. 56, p. 137-157.

Awards & Honors

SPE Distinguished Membership Award, Texas A&M University, USA
Distinguished Researcher Award, King Fahd University of Petroleum and Minerals, Saudi Arabia.
King Oscar Prize for Research/Teaching, University of Uppsala, Sweden.

Dr. Khalid A. H. Al-Ramadan

Professor, Program Leader – Geosystems, CIPR, Department of Geosciences

Educational Qualification

Research Interests

Selected Publications

Awards & Honors

Dr. Abdullatif Al-Shuhail

Professor, Department of Geosciences

Educational Qualification

Research Interests

Selected Publications

Professor Michael A. Kaminski

Professor, Department of Geosciences

Educational Qualification

Research Interests

Selected Publications

Extended Publications (+)

Dr. Pantelis Soupios

Professor, CIPR, Department of Geosciences

Educational Qualification

Research Interests

Selected Publications

Dr. Peter Mora

Professor, Department of Geosciences

Educational Qualification

Research Interests

Selected Publications

Awards & Honors

Dr. Mohamed Mahmoud

Professor, Department of Petroleum Engineering

Educational Qualification

Research Interests

Selected Publications

Awards & Honors

Dr. Salaheldin M. Elkatatny

Professor, Department of Petroleum Engineering

Educational Qualification

Research Interests

Selected Publications

Extended Publications (+)

Awards & Honors

Dr. Abdulazeez Abdulraheem

Professor, Department of Petroleum Engineering

Educational Qualification

Research Interests

Selected Publications

Awards & Honors

Dr. Abeeb Awotunde

Professor, Department of Petroleum Engineering

Educational Qualification

Research Interests

Selected Publications

Dr. Ruud Weijermars

Professor, Program Leader – Geomechanics, CIPR, Department of Petroleum Engineering

Educational Qualification

Research Interests

Selected Publications

Awards & Honors

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