People
Prof. Mohamed Y. Soliman
Prof. Mohamed Y. Soliman is a professor at the Petroleum Engineering Department at the University of Houston. He holds 41 patents on fracturing operations and analysis, testing, and conformance applications. He is an author or co-author of over 300 technical papers and articles in fracturing, reservoir engineering, well-test analysis, conformance, and numerical simulation. In addition, Professor Soliman authored chapters in several books, including World Oil’s Handbook of Horizontal Drilling and Completion Technology, Well Construction, and the SPE monograph Well Test Analysis of Hydraulically Fractured Wells and Deliverability Testing and Underground Gas Storage. Professor Soliman is the primary editor and author/co-author of five of the chapters of “Fracturing Horizontal Wells,” published by McGraw-Hill.
He also co-authored “Optimization of Hydraulic Fracture Stages and Sequences in Unconventional Formations,” published in 2018 by CRC. Furthermore, during his time at Halliburton, he authored several books for internal use, including Stimulation and Reservoir Engineering Aspects of Horizontal Wells, Well Test Analysis, Hydraulic Fracturing, and chapters in Conformance, Stimulation, and FracPac. Professor Soliman is a distinguished member of the Society of Petroleum Engineers. In December 2014, he was nominated and elected as a National Academy of Inventors Fellow. He is a registered Professional Engineer in the state of Texas. Professor Soliman also received the 2020 Gulf Coast Regional Distinguished Achievement Award for Petroleum Engineering Faculty. Professor Soliman was named “2023 Legend of Hydraulic Fracturing”. The award was in recognition of his long-term and seminal work in hydraulic fracturing. In December 2023, he was inducted into the Hart Energy Hall of Fame of Pioneers of the Petroleum Industry during the Last 50 Years. This recognition was for the pioneering work that Professor Soliman did during his industrial and academic career.
Mohamed Adel Gabry
Mohamed Adel Gabry is a Post-doctoral Fellow at the University of Houston with a Ph.D. in Petroleum Engineering and over a decade of experience as a subsurface petroleum engineer working in both conventional and unconventional reservoirs. His expertise includes hydraulic fracturing design, acid stimulation, well completions, and production optimization. He is a co-inventor on three patent applications related to wavelet-based fracture diagnostics and interwell connectivity analysis. With over 45 technical publications in journals and conferences including SPE, Geoenergy Science and Engineering, and MDPI Energies, he has made substantial contributions to the field. His recent work focuses on integrating machine learning with wavelet transform analysis to improve fracture diagnostics, reservoir characterization, and digital E&P workflows.
Son Nguyen
Ph.D. candidate and graduate research assistant in Petroleum Engineering at the University of Houston, with over 18 years of experience in the upstream oil and gas industry. His expertise spans geomechanics, wellbore stability, fault seal analysis, sand production predictio,n and pulsed power plasma stimulation. He has led and contributed to numerous high-impact projects in Vietnam and the U.S., including HPHT field development, CO₂ storage modeling, and unconventional reservoir stimulation. With a strong publication record, multiple international awards, and leadership roles such as president of the ARMA UH Student Chapter, Son brings a unique blend of field experience, academic rigor, and innovative research in petroleum geoscience and engineering.
Amr Ramadan
Ph.D. Student and graduate research assistant in Petroleum Engineering at the University of Houston, with over a decade of experience spanning petroleum engineering, software development, and artificial intelligence, Amr Ramadan specializes in developing integrated digital solutions for the energy industry. He has led research in reservoir simulation and hydraulic fracturing, and built AI-driven production forecasting tools that merge subsurface engineering insight with full-stack development capabilities. His portfolio includes more than 24 peer-reviewed publications, two patent filings, and leadership roles within the Society of Petroleum Engineers (SPE) and the broader data science community. His current focus is on delivering intelligent, scalable, and user-centric applications that enhance innovation and operational performance in upstream energy operations.
Fracwave Alumni
Dr. Ibrahim Eltaleb
Production/Reservoir Engineer at Oilfield Data Services Inc.
Ibrahim Eltaleb earned his Ph.D. in Petroleum Engineering from the University of Houston in 2023. He obtained his bachelor’s degree in Petroleum Engineering with top honors from Misrata University, Libya, and later pursued a Master of Science in Petroleum Engineering from Texas Tech University.He began his career as a production engineer at Repsol Oil Operations in Libya, where he worked for over five years gaining valuable industry experience.
Currently, he works as a Production/Reservoir Engineer at Oilfield Data Services Inc., where he is engaged in projects involving deepwater oil and gas wells, hydraulic fracturing flowbacks, and geomechanics in multi-fractured horizontal wells (MFHW).
Dr. Eltaleb has authored several publications and delivered talks and presentations at SPE conferences. His research contributions have significantly advanced the understanding of unconventional reservoirs. His areas of expertise include fracture diagnostics, signal processing, and data science. Between 2018 and 2023, he played a pivotal role in developing the wavelet transform project and is a co-inventor of the continuous wavelet transform (CWT) technique for fracture closure detection, a tool that is shaping modern fracture diagnostics.
Dr. Ali Rezaei
Senior Computational Engineer, ExxonMobil Low Carbon Solutions
Dr. Rezaei received a Master’s in Petroleum Engineering from Texas Tech University, a Master’s in Data Science from the University of Texas at Austin, and a Ph.D. in Petroleum Engineering from the University of Houston. During his time with the Fracwave group, he developed a programming library of hydraulic fracturing models, including elastic, fully coupled poroelastic, and fast multipole poroelastic formulations, as well as diagnostic tools based on signal processing techniques. His work contributed to advancing computational and experimental approaches for modeling and diagnostics in hydraulic fracturing and pulse plasma fracturing.
Currently, he works at ExxonMobil Low Carbon Solutions as a Senior Computational Engineer, where he applies advanced computational methods and machine learning to support carbon capture and storage (CCS) and low-carbon energy initiatives. Previously at SLB, he worked on robotics solutions and greenhouse gas (GHG) emission reduction, developing automation and ML workflows to enhance operational efficiency and sustainability. Throughout his career, he has authored or co-authored more than 30 technical papers, a book chapter, and collaborated on projects funded by the NSF, DOE, and industry partners.