Majid Esmaeili | Petroleum Industry | Best Researcher Award

Dr. Majid Esmaeili | Petroleum Industry | Best Researcher Award

PHD at the University of Razi, Iran

Majid Esmaeili, a seasoned researcher at the Research Institute of Petroleum Industry (RIPI) in Tehran, Iran, specializes in membrane manufacturing and separation processes for the oil and gas industry. With a Ph.D. in Chemical Engineering from the University of Razi, his work spans hydrocarbon recovery, hydrogen separation, and wastewater treatment. Esmaeili has developed various industrial membrane technologies, earning accolades such as Top Researcher at RIPI in 2022. He has also served as a consultant for multiple engineering firms, contributing significantly to advancements in membrane technology and its applications in the petroleum sector.

Professional Profiles

Education

Philosophy of Doctorate (2008-2013): University of Razi, Faculty of Engineering, Department of Chemical Engineering (Separation Processes), Kermanshah, Iran Ph.D. Thesis: Preparation, modification, and characterization of facilitated transport membrane for ethylene-ethane separation Supervisor: Professor Seyed Siavash Madaeni Master of Science (2004-2006): Razi University, Faculty of Engineering, Department of Chemical Engineering (Separation processes), Kermanshah, Iran M.Sc. Thesis: Preparation and characterization of asymmetric and composite polyethersulphone-based membranes for oxygen separation at low pressures Supervisor: Professor Seyed Siavash Madaeni Bachelor of Science (1998-2002): Sahand University of Technology, Faculty of Chemical Engineering, Tabriz, Iran B.Sc. Thesis: Evaluation of heavy oil viscosity Supervisor: Dr. Alireza Tabatabaee

Professional Experience

Research Institute of Petroleum Industry (RIPI) (2013 – Present): Full-time Researcher, Chemical, Polymeric, and Petrochemical Technology Development Research Division, Membrane Center, Researcher, and Project Manager Secretary of the Membrane Committee at RIPI Equipment for the membrane separation laboratory Various membrane manufacturing projects Design and execution of the Membrane Technology Development Center at RIPI Consultant (2023 – Present): Pala Farayend Rastin Company Atieh Sanaat Sharif Company Junior Research Assistant (2007-2013): Membrane Production Workshop, National Petrochemical Company, Research and Technology Company (NPC-RT) Design and preparation of laboratory scale and pilot scale membrane equipment and modules Chemical Engineer and Operator (2006-2013): Iranian Offshore Oil Company (IOOC), Sirri & Kharg Islands, Iran Operator of Oil & Gas Refining Factory, LPG factory, and NGL factory Supervisor of Pre-commissioning, Commissioning & Startup of NGL factory

Honors and Awards

Top Researcher at RIPI (2022) Effective Project Manager at Coke production plant design, Bandar Abbas Oil Refinery (2021) Praiseworthy Book (Membrane Fouling and Regeneration Methods) in Oil Book Ceremony (2016) Top student in intermediate school Educated at Imam Sadegh High School, Tehran, Iran Ranked 2432nd in national B.Sc. scholarship entrance examination Ranked 319th in national M.Sc. scholarship entrance examination Ranked top 5% students of Chemical Engineering Department, Razi University

Research Focuses

Majid Esmaeili’s research primarily focuses on the development and enhancement of membrane technologies for various industrial applications. His work includes the design and optimization of nanofiltration and ultrafiltration membranes, with particular emphasis on improving fouling resistance and separation performance. Esmaeili has extensively studied the incorporation of nanomaterials such as multi-walled carbon nanotubes and graphene oxide to enhance membrane properties. His research also covers the selective transport of gases and recovery of hydrocarbons, contributing to advancements in the fields of chemical engineering and separation processes. Esmaeili’s contributions have been widely published and cited in reputable scientific journals.

Publications

  1. A 3-dimentinal CFD model for simulation of an O2/N2 separation process using an industrial PIHF membrane module for N2 enrichment, Publication date: 2024.
  2. Evaluation of Various Structures for PVP Facilitated Transport Membranes Containing Silver Salts and Its Effect on Ethylene-Ethane Separation Process, Publication date: 2019.
  3. An insight into hollow fiber membrane contactor technology and its position in separation of carbon dioxide gas, Publication date: 2021.
  4. A predictive model for tuning additives for the fabrication of porous polymeric membranes, Publication date: 2019.
  5. Stabilize thin nanoparticle layer of zeolitic imidazole framework-8 (ZIF-8) on different PVDF substrates by contra-diffusion method for high-efficiency ultrafiltration application, Publication date: 2022.
  6. Sensitive and selective determination of trace amounts of mercury ions using a dimercaprol functionalized graphene quantum dot modified glassy carbon electrode, Publication date: 2021.
  7. CO2/N2 separation by glycerol aqueous solution in a hollow fiber membrane contactor module: CFD simulation and experimental validation, Publication date: 2022.
  8. Evaluation of morphology, performance and fouling tendency of mixed matrix PVDF ultrafiltration membranes incorporated by different size-controlled SAPO-34 nanozeolites, Publication date: 2021.
  9. Preparation, characterization and performance evaluation of ZnO deposited polyethylene ultrafiltration membranes for dye and protein separation, Publication date: 2020.
  10. Synergistic effect of carboxylated-MWCNTs on the performance of acrylic acid UV-grafted polyamide nanofiltration membranes, Publication date: 2019.
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Ahmed Ibrahim | Petroleum Energy | Best Researcher Award

Dr. Ahmed Ibrahim | Petroleum Energy | Best Researcher Award

PHD at Texas A&M University, United States

Ahmed Farid Ibrahim, based in Houston, USA, is an accomplished petroleum engineer with over 13 years of expertise in CO2 sequestration, sustainability, and machine learning applications. As an assistant professor, he has spearheaded numerous funded projects focusing on CO2 sequestration and enhanced hydrocarbon recovery. He holds a PhD from Texas A&M University and has a robust background in reservoir modeling, production performance analysis, and technical evaluation of oil and gas assets. Ahmed’s work, recognized through various awards, has been published in peer-reviewed journals and presented at international conferences. He is also an active member of professional organizations like SPE and EAGE. Petroleum Energy

Professional Profiles

Education

PhD, Petroleum Engineering Institution: Texas A&M University, College Station Graduation Date: December 2017 GPA: 4.0/4.0 Topic: CO2 Applications in Unconventional Reservoirs Graduate Advisor: Dr. Hisham Nasr-El-Din MSc, Petroleum Engineering Institution: Cairo University, Egypt Graduation Date: June 2011 Thesis: Development of an Integrated Model for History Matching and Predicting Reservoir Performance of Gas Condensate Wells Advisor: Dr. Ahmed El-Banbi GPA: 4.0/4.0 BSc, Petroleum Engineering Institution: Cairo University, Egypt Graduation Date: July 2009 Grade: Distinction with honor degree, First place/150. Petroleum Energy

Professional Experience

Assistant Professor Institution: KFUPM Dates: 2021 – present Status: Full-Time Post Doc. Researcher Institution: Texas A&M University Dates: 2017-2018 Status: Full-Time Research Assistant Institution: Texas A&M University Dates: 2013-2017 Status: Full-Time Teaching Assistant Institution: Cairo University Dates: 2009-2013 Status: Full-Time Teaching Courses: Reservoir Engineering, Natural Gas Engineering, Well Test Analysis, Reservoir Description and Characterization, Water Flooding, Machine Learning Applications in Oil and Gas Industry.  Petroleum Energy

Filed Patents

Ibrahim, Ahmed Farid. “SYSTEM AND METHODS FOR DETERMINING THE EFFECT OF FRACTURE INTERFERENCE ON SHALE WELL PERFORMANCE.” U.S. Patent Application 18/357,638, filed March 7, 2024. De Paulo, J.M., et al. “Viscoelastic compositions for matrix acidizing.” U.S. Patent Application 17/417,668, filed March 3, 2022.

Computer Skills

Reservoir Simulation Software: CMG, ECLIPSE Programming Languages: Python, Spotfire, FORTRAN, Visual Basic, Labview Microsoft Office: Word, Excel, PowerPoint Public Datasets: Drilling info

Honors and Awards

OGAPS Grant, Texas A&M University, 2015 2021 Reviewers of the Year, ASME Journal of Energy Resources Technology SPE Student Paper Contest, Ranked First Place in the Subregional Middle East Level Schlumberger Distinguished Student Award, 2007 and 2008

Research Focus

Ahmed Farid Ibrahim’s research focuses on enhancing hydrocarbon recovery and CO2 sequestration in both conventional and unconventional reservoirs. His work integrates experimental and numerical simulation studies, with a particular emphasis on machine learning applications. His research encompasses reservoir modeling, the effects of water salinity on coal wettability, mobility control using nanoparticle-stabilized CO2 foam, and the development of innovative friction-reducing agents for hydraulic fracturing. His contributions also include acid diversion in carbonate reservoirs, diagnostics in unconventional formations, and stability improvements for CO2 foam. Ahmed’s extensive publication record highlights his significant contributions to petroleum engineering and environmental sustainability.

Publications

  1. Optimizing Recovery of Fracturing Fluid in Unconventional and Tight Gas Reservoirs Through Innovative Environmentally Friendly Flowback Additives, Publication date: 2024.
  2. Optimizing cluster spacing in multistage hydraulically fractured shale gas wells: balancing fracture interference and stress shadow impact, Publication date: 2024.
  3. Real-Time Identification of Geological Factuals by Integrating Formation Micro Resistivity Imaging Logs With Computer VisionPublication date: 2024.
  4. Impact of Injection Velocity on Wormhole Generation Due to CO2 Sequestration, Publication date: 2024.
  5. Data Analytics and Machine Learning Application for Reservoir Potential Prediction in Vuggy Carbonate Reservoirs Using Conventional Well Logging, Publication date: 2024.
  6. Advancing Reservoir Understanding: Integrating Deep Learning into Automated Formation Micro-Imaging Log Interpretation for Enhanced Reservoir Characterization and Management, Publication date: 2024.
  7. Real-Time Prediction of Petrophysical Properties Using Machine Learning Based on Drilling Parameters, Publication date: 2024.
  8. Optimizing Completion Design for Delaware Basin Wells with Real-Time Performance Monitoring, Publication date: 2024.
  9. SYSTEM AND METHODS FOR DETERMINING THE EFFECT OF FRACTURE INTERFERENCE ON SHALE WELL PERFORMANCE, Publication date: 2024.
  10. Cluster Spacing Effect on the Fracture Interference Including Stress Shadow, Publication date: 2024.
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