CPG

Dr. Ammar El-Husseiny

Tel: +966 (013) 860-2625
Fax: +966 (013) 860-2595

Location: Bldg. 76, Rm. 2123

Dr. Ammar El-Husseiny

Professor, Program Leader – Petrophysics/Rockphysics, Program Leader – Petrophysics/Rockphysics, CIPR, CIPR, Department of Geosciences, Geosciences Department

Educational Qualification

  • Ph.D. in Geophysics, Stanford University, USA, 2016
  • M.S. in Geophysics, Stanford University, USA, 2013
  • B.S. (Honor) in Petroleum Geosciences, The Petroleum Institute, Abu Dhabi, UAE, 2010

Research Interests

  • Rock physics of carbonates characterizing their transport and elastic properties.
  • Fluid substitution and time-lapse seismic interpretation
  • The use of NMR for pore structure characterization

Selected Publications

  • Salih, M., Reijmer, JJG., El-Husseiny, A.*, 2021, Diagenetic controls on the elastic velocity of the early Triassic Upper Khartam Member (Khuff Formation, central Saudi Arabia), Marine and Petroleum Geology, 124, 104823, https://doi.org/10.1016/j.marpetgeo.2020.104823.
  • Elsayed, M., El-Husseiny, A.*, Kwak, H., Hussaini, S. R., and Mahmoud, M., 2021, New Technique for Evaluating Fracture Geometry and Preferential Orientation Using Pulsed Field Gradient Nuclear Magnetic Resonance. SPE Journal.  SPE-205505-PA, doi: https://doi.org/10.2118/205505-PA
  • Khodja, M.R., Nizamuddin, S., Ali, A., Kandil, M., El-Husseiny, A., Nazal, M., Babalola, L., and Solling, T., 2022, Can Fluid-Substitution Models Continue to Ignore the Complex Physico-Chemical Properties of Crude Oil?, Geophysics 86: MR299-MR314, https://doi.org/10.1190/geo2021-0136.1
  • Reijmer, J.J.G, Blok, C.N., El-Husseiny, A., Kleipool, LM, Hogendorp, YCK, Alonso-Zarza, AM., 2021, Petrophysics and sediment variability in a mixed alluvial to lacustrine carbonate system (Miocene, Madrid Basin, Central Spain). Depositional Record, 00:1– 23. https://doi.org/10.1002/dep2.158
  • Al-Garadi, K., El-Husseiny, A.*, Elsayed, M., Connolly, P., Mahmoud, M., Johns, M., Adebayo, A., 2022. A rock core wettability index using NMR T2 measurements, Journal of Petroleum Science and Engineering, 208, 109386, https://doi.org/10.1016/j.petrol.2021.109386.
  • El-Husseiny, A.*, Eltom, H., Alqubalee, A. et al. Distinct Petroacoustic Signature of Burrow-Related Carbonate Reservoirs: Outcrop Analog Study, Hanifa Formation, Central Saudi Arabia. Nat Resour Res (2022). https://doi.org/10.1007/s11053-022-10097-w
  • Suleymanov V, El-Husseiny A*, Glatz G, Dvorkin J. Rock physics and machine learning comparison: elastic properties prediction and scale dependency, Frontiers in Earth Science 11 
  • sayed, Mahmoud, El-Husseiny, A*, Hussaini, Syed Rizwanullah, Al Mukainah, Hani, and Mohamed Mahmoud. “Experimental Study on the Impact of Clay Distribution and Mineralogy on NMR T2 and Internal Gradient: Insights From Well-Controlled Physical Samples.” SPE Res Eval & Eng (2022;): doi: https://doi.org/10.2118/212300-PA
  • Moaz Salih, El-Husseiny, A.*, John J.G. Reijmer, Hassan Eltom, Abdallah Abdelkarim, Factors controlling sonic velocity in dolostones, Marine and Petroleum Geology, Volume 147, 2023, 105954, https://doi.org/10.1016/j.marpetgeo.2022.105954.
  • Badhafere D, Kirmizakis P, Oshaish A, El-Husseiny A, Mahmoud M, Ntarlagiannis D, Soupios P., 2023, Detection of Iron Disulfide Materials in Geological Porous Media Using Spectral Induced Polarization Method, SPE J. 28 (2023): 3409–3418. doi: https://doi.org/10.2118/217424-PA
  • Hassan, A., M. Elsayed, A. Oshaish, S. Al-Ofi, El-Husseiny, A.*, I. S. Abu-Mahfouz, M. Mahmoud, M. Abouelresh, H. Attia, 2024, Evaluating the impact of artificial maturation on the petrophysical and geochemical properties of unconventional shale formations by integrating dielectric and NMR measurements, International Journal of Coal Geology, 285, 104492, https://doi.org/10.1016/j.coal.2024.104492.
  • Elsayed, M., El-Husseiny, A.*, Kwak, H., Adebayo, A., Mahmoud, M., 2024, The impact of clay and fluid conductivity on the electrical-diffusion tortuosity correlations in sandstone reservoirs, Water Resources Research, e2023WR037031, https://doi.org/10.1029/2023WR037031
  • A. Saraih, S. Hanafy, H. Eltom, A. El-Husseiny, et al., “Characterizing the Attributes of Large Burrows in the Upper Cretaceous Aruma Formation: Insights From Ground Penetrating Radar,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-12, 2024, Art no. 4510012, doi: 10.1109/TGRS.2024.3448223.
  • Kellal, S., Kirmizakis, P., El-Husseiny, A., Ntarlagiannis, D., Soupios, P., and M. Mahmoud. “Low Resistivity Pay Zone Detection in Hydrocarbon Formation: The Feasibility of the Spectral Induced Polarization Method.” SPE J. 29 (2024): 5372–5383. doi: https://doi.org/10.2118/223100-PA
  • Oshaish, Ali, El-Husseiny, Ammar, Mahmoud, Mohamed, Al-Ofi, Salah, Alarifi, Sulaiman A., Attia, Hussein, Al-Yaseri, Ahmed, and Amjed Hassan. “Quantification of Rock’s Wettability Index Using Dielectric Measurements.” SPE J. 30 (2025): 1281–1300. doi: https://doi.org/10.2118/224401-PA

Extended Publications (+)

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Awards & Honors

  • Awarded the EAGE annual meeting Travel Grant, Vienna, Austria, May 2011
  • Graduation from The Petroleum Institute with GPA of 4.0 out of 4.0 (honor with distinction), 2010.
  • First place in the “SEG Challenge Bowl” regional competition in the Middle East, The Petroleum Institute, 2009.
Tel: (013) 860-7981

Location: Bldg. 76, Rm. 2155

Dr. Ruud Weijermars

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

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.
Tel: (013) 860-7981

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.
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).
Tel: +966 (013) 860-2604
Fax: +966 (013) 860-4447

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”.
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 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: +966 (013) 860-2205

Location: Bldg. 76, Rm. 2115

Dr. Saad F. Alafnan

Professor, Department of Petroleum Engineering

Educational Qualification

  • Ph.D., in Petroleum Engineering, Texas A&M University – 2014-2017.
  • M.S. in Petroleum Engineering, University of Southern California – 2012-2014
  • B.S. in Chemical Engineering, King Fahd University of Petroleum and Minerals – 2007-2011

Research Interests

  • Multiscale modeling of fluid transport in subsurface formations
  • Earth systems modelling
  • Surface and subsurface decarbonization processes
  • Energy sustainability and technologies

Selected Publications

Extended Publications (+)

  • Saad Alafnan. “Utilization of supercritical carbon dioxide for mechanical degradation of organic matters contained in shales.” Fuel 316 (2022) https://doi.org/10.1016/j.fuel.2022.123427.
  • Saad Alafnan. “The self-diffusivity of natural gas in the organic nanopores of source rocks.” Physics of Fluids 34, 042004 (2022) https://doi.org/10.1063/5.0081258.
  • Saad Alafnan. “Adsorption–Desorption Hysteresis in Shale Formation: New Insights into the Underlying Mechanisms” Energy & Fuels 36 (2022) https://doi.org/10.1021/acs.energyfuels.2c00444.
  • Saad Alafnan. “Utilization of depleted heavy oil reservoirs for carbon dioxide storage and sequestration: A molecular level assessment.” International Journal of Greenhouse Gas Control 119 (2022) https://doi.org/10.1016/j.ijggc.2022.103741.
  • Clement Afagwu, Saad Alafnan, Mohamed Mahmoud, I. Yucel Akkutlu. “Modeling of natural gas self-diffusion in the micro-pores of organic-rich shales coupling sorption and geomechanical effects.”  Journal of Natural Gas Science and Engineering 106 (2022) https://doi.org/10.1016/j.jngse.2022.104757.
  • Guenther Glatz, Saad Alafnan, Raoof Gholami, Arshad Raza, Mohamed Mahmoud, Khaled Al-Azani, Abeeb Awotunde. “Effect of kerogen maturity on the adsorption capacity of CO2 and CH4: A molecular investigation.” Fuel 327 (2022) https://doi.org/10.1016/j.fuel.2022.125188.  
  • Arshad Raza, Guenther Glatz, Raoof Gholami, Mohamed Mahmoud, Saad Alafnan. “Carbon mineralization and geological storage of CO2 in basalt: Mechanisms and technical challenges.” Earth-Science Reviews 229 (2022) https://doi.org/10.1016/j.earscirev.2022.104036.
  • Alqam, Mohammad H., Abu-Khamsin, Sidqi A., Alafnan, Saad F., Sultan, Abdullah S., Al-Majed, Abdulaziz, and Taha Okasha. “The Impact of Carbonated Water on Wettability: Combined Experimental and Molecular Simulation Approach.” SPE J. 27 (2022) https://doi.org/10.2118/208594-PA
  • Clement Afagwu, Saad Al-Afnan, Shirish Patil, Jaber Aljaberi, Mohamed A. Mahmoud, Jun Li, “The impact of pore structure and adsorption behavior on kerogen tortuosity”, Fuel, Volume 303, 2021, 121261, ISSN 0016-2361, https://doi.org/10.1016/j.fuel.2021.121261.
  • Aljaberi, Jaber , Alafnan, Saad , Glatz, Guenther , Sultan, Abdullah S., and Clement Afagwu. “The Impact of Kerogen Tortuosity on Shale Permeability.” SPE J. (2020;): doi: https://doi.org/10.2118/204469-PA
  • Saad Alafnan, Abeeb Awotunde, Guenther Glatz, Stephen Adjei, Ibrahim Alrumaih, Ahmed Gowida, “Langmuir adsorption isotherm in unconventional resources: Applicability and limitations.” Journal of Petroleum Science and Engineering 207 (2021) https://doi.org/10.1016/j.petrol.2021.109172.
  • Mohammed, I., Olayiwola, T.O., Alkathim, M., Abeeb A. Awotunde, Saad F. Alafnan.  “A review of pressure transient analysis in reservoirs with natural fractures, vugs and/or caves.” Petroleum Science 18 (2021). https://doi.org/10.1007/s12182-020-00505-2
  • Clement Afagwu, Isah Abubakar, Shams Kalam, Saad F. Al-Afnan, Abeeb A. Awotunde “Pressure-transient analysis in shale gas reservoirs: A review.” Journal of Natural Gas Science and Engineering 78, (2020) https://doi.org/10.1016/j.jngse.2020.103319.
  • Alafnan, S., and Yucel Akkutlu, I. “The Transport Mechanisms and Dynamics of Shale via Multiscale Multiphysics Pore Network Modeling.” ASME. J. Energy Resour. Technol. 142 (2020) https://doi.org/10.1115/1.4046522.
  • Alafnan, Saad & Aljawad, Murtada & Alismail, Fahad & Almajed, Abdulaziz. (2019). “Enhanced Recovery from Gas Condensate Reservoir through Renewable Energy Sources”. Energy Fuels. 10.1021/acs.energyfuels.9b01761.
  • K. Alafnan, Saad & Akkutlu, I. Yucel. “Matrix–Fracture Interactions During Flow in Organic Nanoporous Materials Under Loading”. Transport in Porous Media 121 (2017). https://doi.org/10.1007/s11242-017-0948-3.

Books

  • Alafnan, S., & Akkutlu, Y. (2020). Transport in Nanoporous Materials. In 948916750 740229742 K. D. Sattler (Author), 21st century nanoscience a handbook (Vol. 5, pp. 12-1-12-6). Boca Raton, FL: CRC Press.

Awards & Honors

  • SPE Distinguished Achievement Award for Petroleum Engineering Faculty, MENA Region
  • KFUPM Excellence in Research Award, 2024
  • KFUPM Excellence in Advising Award, 2023
  • KFUPM Early Career Research Award, 2021
Tel: +966 (013) 860-2205

Location: Bldg. 76, Rm. 2115

Dr. Saad F. Alafnan

Professor, Department of Petroleum Engineering, Petroleum Engineering Department

Educational Qualification

  • Ph.D., in Petroleum Engineering, Texas A&M University – 2014-2017.
  • M.S. in Petroleum Engineering, University of Southern California – 2012-2014
  • B.S. in Chemical Engineering, King Fahd University of Petroleum and Minerals – 2007-2011

Research Interests

  • Multiscale modeling of fluid transport in subsurface formations
  • Earth systems modelling
  • Surface and subsurface decarbonization processes
  • Energy sustainability and technologies

Selected Publications

Extended Publications (+)

  • Saad Alafnan. “Utilization of supercritical carbon dioxide for mechanical degradation of organic matters contained in shales.” Fuel 316 (2022) https://doi.org/10.1016/j.fuel.2022.123427.
  • Saad Alafnan. “The self-diffusivity of natural gas in the organic nanopores of source rocks.” Physics of Fluids 34, 042004 (2022) https://doi.org/10.1063/5.0081258.
  • Saad Alafnan. “Adsorption–Desorption Hysteresis in Shale Formation: New Insights into the Underlying Mechanisms” Energy & Fuels 36 (2022) https://doi.org/10.1021/acs.energyfuels.2c00444.
  • Saad Alafnan. “Utilization of depleted heavy oil reservoirs for carbon dioxide storage and sequestration: A molecular level assessment.” International Journal of Greenhouse Gas Control 119 (2022) https://doi.org/10.1016/j.ijggc.2022.103741.
  • Clement Afagwu, Saad Alafnan, Mohamed Mahmoud, I. Yucel Akkutlu. “Modeling of natural gas self-diffusion in the micro-pores of organic-rich shales coupling sorption and geomechanical effects.”  Journal of Natural Gas Science and Engineering 106 (2022) https://doi.org/10.1016/j.jngse.2022.104757.
  • Guenther Glatz, Saad Alafnan, Raoof Gholami, Arshad Raza, Mohamed Mahmoud, Khaled Al-Azani, Abeeb Awotunde. “Effect of kerogen maturity on the adsorption capacity of CO2 and CH4: A molecular investigation.” Fuel 327 (2022) https://doi.org/10.1016/j.fuel.2022.125188.  
  • Arshad Raza, Guenther Glatz, Raoof Gholami, Mohamed Mahmoud, Saad Alafnan. “Carbon mineralization and geological storage of CO2 in basalt: Mechanisms and technical challenges.” Earth-Science Reviews 229 (2022) https://doi.org/10.1016/j.earscirev.2022.104036.
  • Alqam, Mohammad H., Abu-Khamsin, Sidqi A., Alafnan, Saad F., Sultan, Abdullah S., Al-Majed, Abdulaziz, and Taha Okasha. “The Impact of Carbonated Water on Wettability: Combined Experimental and Molecular Simulation Approach.” SPE J. 27 (2022) https://doi.org/10.2118/208594-PA
  • Clement Afagwu, Saad Al-Afnan, Shirish Patil, Jaber Aljaberi, Mohamed A. Mahmoud, Jun Li, “The impact of pore structure and adsorption behavior on kerogen tortuosity”, Fuel, Volume 303, 2021, 121261, ISSN 0016-2361, https://doi.org/10.1016/j.fuel.2021.121261.
  • Aljaberi, Jaber , Alafnan, Saad , Glatz, Guenther , Sultan, Abdullah S., and Clement Afagwu. “The Impact of Kerogen Tortuosity on Shale Permeability.” SPE J. (2020;): doi: https://doi.org/10.2118/204469-PA
  • Saad Alafnan, Abeeb Awotunde, Guenther Glatz, Stephen Adjei, Ibrahim Alrumaih, Ahmed Gowida, “Langmuir adsorption isotherm in unconventional resources: Applicability and limitations.” Journal of Petroleum Science and Engineering 207 (2021) https://doi.org/10.1016/j.petrol.2021.109172.
  • Mohammed, I., Olayiwola, T.O., Alkathim, M., Abeeb A. Awotunde, Saad F. Alafnan.  “A review of pressure transient analysis in reservoirs with natural fractures, vugs and/or caves.” Petroleum Science 18 (2021). https://doi.org/10.1007/s12182-020-00505-2
  • Clement Afagwu, Isah Abubakar, Shams Kalam, Saad F. Al-Afnan, Abeeb A. Awotunde “Pressure-transient analysis in shale gas reservoirs: A review.” Journal of Natural Gas Science and Engineering 78, (2020) https://doi.org/10.1016/j.jngse.2020.103319.
  • Alafnan, S., and Yucel Akkutlu, I. “The Transport Mechanisms and Dynamics of Shale via Multiscale Multiphysics Pore Network Modeling.” ASME. J. Energy Resour. Technol. 142 (2020) https://doi.org/10.1115/1.4046522.
  • Alafnan, Saad & Aljawad, Murtada & Alismail, Fahad & Almajed, Abdulaziz. (2019). “Enhanced Recovery from Gas Condensate Reservoir through Renewable Energy Sources”. Energy Fuels. 10.1021/acs.energyfuels.9b01761.
  • K. Alafnan, Saad & Akkutlu, I. Yucel. “Matrix–Fracture Interactions During Flow in Organic Nanoporous Materials Under Loading”. Transport in Porous Media 121 (2017). https://doi.org/10.1007/s11242-017-0948-3.

Books

  • Alafnan, S., & Akkutlu, Y. (2020). Transport in Nanoporous Materials. In 948916750 740229742 K. D. Sattler (Author), 21st century nanoscience a handbook (Vol. 5, pp. 12-1-12-6). Boca Raton, FL: CRC Press.

Awards & Honors

  • SPE Distinguished Achievement Award for Petroleum Engineering Faculty, MENA Region
  • KFUPM Excellence in Research Award, 2024
  • KFUPM Excellence in Advising Award, 2023
  • KFUPM Early Career Research Award, 2021
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