CPG

Dr. Abdullatif Al-Shuhail

Dr-Abdullatif-Al-Shuhaill
Tel: +966 (013) 860-3584
Fax: +966 (013) 860-2595

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.
Dr-Michael-Anthony-Kaminski
Tel: +966 (013) 860-2344
Fax: +966 (013) 860-2595

Location: Bldg. 76, Rm. 2127

Professor Michael A. Kaminski

Professor, Department of Geosciences

Prof. Mike Kaminski is a Full 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 35 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 200 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 MicropaleontologieGeological 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

  • 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

Location: Bldg. 76, Rm. 2245

Dr. Pantelis Soupios

Professor, 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

  • George Panagopoulos, Pantelis Soupios, Antonios Vafidis, Emmanouil Manoutsoglou, 2021, Integrated use of well and geophysical data for constructing 3D geological models in shallow aquifers: a case study at the Tymbakion basin, Crete, Greece, Environmental Earth Sciences 80:142, https://doi.org/10.1007/s12665-021-09461-5
  • Omer Muhammad Siddiq, Bassam Shafiq Tawabini; Pantelis Soupios; Dimitrios Ntarlagiannis, 2021, Removal of Arsenic from Contaminated Groundwater Using Biochar: A Technical Review, International Journal of Environmental Science and Technology, https://doi.org/10.1007/s13762-020-03116-x
  • Çağdaş Sağır, Bedri Kurtuluş, Pantelis Soupios, Korhan Ayrancı, Erkan Düztaş, Murat Ersen Aksoy, Özgür Avşar, Günseli Erdem, Mustafa Can Canoğlu, SanLinn I. Kaka, Moumtaz Razack, 2020, Investigating the Structure of a Coastal Karstic Aquifer through the Hydrogeological Characterization of Springs Using Geophysical Methods and Field Investigation, Gökova Bay, SW Turkey, Water 2020, 12(12), 3343; https://doi.org/10.3390/w12123343
  • Demirci İsmail, Gundogdu N. Yıldırım, Candansayar Mehmet Emin, Soupios Pantelis, Vafidis Antonis and Arslan Hakan, 2020, Determination and Evaluation of Salt Water Intrusion on Bafra Plain: Joint Interpretation of Geophysical, Hydrogeological and Hydro-chemical Data, Pure and Applied Geophysics, pp.20, DOI: 1007/s00024-020-02573-2
  • Ntarlagiannis D., Kalderis D. and Soupios P., 2020, Geophysical Methods for Contaminant Management: the Case for Biochar, Fast TIMES, EEGS, Vol. 25(2), pp. 80-90 (invited paper).
  • Payal Rani, Pantelis Soupios and Pavel Barsukov, 2020, Regional tectonic model of Southern, Central part of the Mygdonian basin (Northern Greece) by applying 3D Transient Electromagnetic Modeling, Journal of Applied Geophysics, https://doi.org/10.1016/j.jappgeo.2020.104008

List of Publication & Research activities:

Tel: +966 (013) 860 2566
Fax: +966 (013) 860 2595

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. & 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

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

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:

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).
Dr-Abeeb-Awotunde
Tel: +966 (013) 860-​7560
Fax: +966 (013) 860-4447

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 TechniquesJPSE, 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

Location: Bldg. 76, Rm. 2155

Dr. Ruud Weijermars

Professor, 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.
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