Imad A. AdelResearch CV Download CV (PDF) Contact

Research profile · Curriculum vitae

Imad A. Adel

Senior Petroleum Research Engineer, Khalifa University — Chemical Enhanced Oil Recovery (EOR) in carbonate reservoirs (ADNOC-funded program)

BS in Petroleum Engineering, magna cum laude · MS in Petroleum Engineering · Texas A&M UniversityDoctoral research in Petroleum Engineering, Texas A&M, 2017–2019.

Senior Petroleum Research Engineer at Khalifa University of Science and Technology, working on gas and chemical enhanced oil recovery (EOR). Research covers HTHP coreflooding, minimum miscibility pressure, phase behaviour, surfactant retention, numerical simulation, and techno-economic screening, with experience in unconventional liquid reservoirs and high-temperature, high-salinity carbonates. Builds core- and field-scale black-oil and compositional simulation models (Eclipse, Petrel) and calibrates them to coreflood data. Develops interactive research companions and engineering calculators for exploring experimental data, published evidence, and model assumptions.

Selected publications, manuscript statuses and research software are listed below.

Research metrics
502Citations
11h-index
11i10-index
6.39Scopus FWCI
14Published papers listed
4Manuscripts

Google Scholar, checked 5 October 2026. Scopus Field-Weighted Citation Impact 6.39, checked 20 September 2026. Manuscripts are counted separately from published papers.

Imad A. Adel with fellow researchers beside laboratory equipment at Texas A&M University.
Gas-and-surfactant EOR testing at Texas A&M, featured in the Journal of Petroleum Technology, 2017.
01 — Academic record

Education

Doctoral research in Petroleum Engineering, Texas A&M, 2017–2019.

College Station, Texas

  • Assessment of Rich Gas, Carbon Dioxide, Surfactant, and Foam Applications for Enhanced Oil Recovery in Unconventional Liquid Resources.
  • Acid System Selection for Matrix Stimulation of Low-Permeability Carbonates.

Texas A&M University — MS in Petroleum Engineering

June 2015 – Dec 2016

College Station, TX

  • GPA: 3.75/4.00
  • Thesis: A Reliable and Rapid Technique for the Laboratory Determination of the Minimum Miscibility Pressure for CO₂–Light Crude Oil Systems Using the Slim Tube Technique

Texas A&M University — BS in Petroleum Engineering

Aug 2011 – May 2015

College Station, TX

  • Magna Cum Laude
  • Major GPA: 3.92/4.00 · Cumulative GPA: 3.752/4.00
02 — Laboratory, simulation and field screening

Research experience

Laboratory measurement, simulation and field screening across chemical and gas enhanced oil recovery.

Senior Petroleum Research Engineer — ADNOC External Project / Khalifa University of Science and Technology

Feb 2021 – present

Abu Dhabi, UAE

ADNOC-funded program on chemical EOR in Abu Dhabi high-temperature, high-salinity carbonate reservoirs.

  • Measured capillary desaturation curves and critical trapping numbers in mixed-to-oil-wet carbonate cores at 100 °C and 243,028 ppm TDS, applying the Forbes local-saturation correction to centrifuge data, and scaled the laboratory results to field injection rates.
  • Established retention-controlled screening criteria linking dynamic surfactant retention to incremental recovery and to the breakeven oil price, converting laboratory measurements into field screening thresholds.
  • Built a discounted-cash-flow screening model calibrated to twelve screened corefloods that resolves retention into NPV, rate of return, unit technical cost, and breakeven retention, with uncertainty carried on retention and oil price.
  • Screened and ranked more than 10 surfactant classes at reservoir temperature and salinity, measuring phase behaviour, interfacial tension, wettability alteration, and static and dynamic retention to identify formulations that combine ultra-low interfacial tension with low retention.
  • Determined polymer molecular-weight and mechanical pre-shear requirements for injectivity into low- and moderate-permeability carbonates, bounding the accessible velocity window against fracture parting pressure for mobility-control design.
  • Assembled a criteria-screened synthesis of 49 viscoelastic-polymer coreflood contrasts, deriving carbonate injectivity bounds and a two-core experimental design from the screened evidence.
  • Quality-checked and reviewed routine core analysis, SCAL and PVT datasets from contract laboratories before they entered the screening models.
  • Designed and built interactive engineering tools that recompute each published result from the measured data, and paired each project manuscript with one; published the research in conference proceedings and scientific journals.

Research Associate — Texas A&M University

Jan 2017 – Aug 2019

College Station, TX

Gas, surfactant, and foam EOR in unconventional liquid reservoirs; acid systems in low-permeability carbonates.

  • Evaluated CO₂, rich gas, surfactant, and foam as EOR agents in ultra-low-permeability reservoirs using coreflooding, numerical simulation, and X-ray computed tomography.
  • Quantified hybrid multi-cycle recovery combining gas injection with surfactant-assisted spontaneous imbibition, and developed scaling groups that reproduce capillary pressure profiles at the field scale.
  • Measured the effect of ethane, propane, and CO₂ content on minimum miscibility pressure in rich gas–oil systems by the slim tube technique, and improved the precision of the CO₂–light crude MMP determination for miscible gas-injection design.
  • Developed core- and field-scale black-oil and compositional simulation models for CO₂ and rich-gas huff-n-puff and for surfactant injection, matched the core-scale models to coreflood results, and upscaled them with discrete fracture network models and scaling-group analysis to forecast recovery factor and quantify surfactant effects on wettability and interfacial tension.
  • Compared acid mixtures for stimulation of low-permeability carbonates.

Teaching Assistant — Texas A&M University

Sept 2013 – Dec 2018

College Station, TX

  • PETE 401 and PETE 402 — reservoir simulation and senior field-development design (Spring 2016 – Fall 2018): supervised student teams building simulation models and development plans.
  • FREN 102 and FREN 201 — intermediate French (Fall 2013 – Spring 2015)

Undergraduate Summer Research Grant — Texas A&M University

Summer 2014

College Station, TX

  • Analysed production and completion data from 2,760 producing Barnett Shale wells operated by Chesapeake; the resulting completion recommendations reduced completion cost by 20 percent.
03 — Calculators and teaching companions

Research and engineering applications

Selected independent projects: two engineering calculators and two teaching companions. Programme research companions are not listed.

trapping-number app

Trapping Number and CDC Toolkit

Computes capillary, Bond and total trapping numbers from entered rate, viscosity, interfacial tension and permeability; fits a capillary desaturation curve with a stated threshold definition, distinct from a measured operational onset; and includes a three-dimensional pore-scale view and an eight-group petroleum unit converter.

Open application (opens in a new tab)

economics app

Chemical EOR Techno-Economics

Resolves a surfactant-flood design into chemical demand, unit technical cost, net present value and internal rate of return.

Open application (opens in a new tab)

teaching companion

Petroleum Fluids Teaching Companion

Ten interactive three-dimensional modules on reservoir-fluid behaviour — phase envelopes, the gas deviation-factor surface, black-oil properties and separator optimisation — computed live from published correlations, with seven animated physics schematics and a print edition; structured on the chapter order of McCain’s The Properties of Petroleum Fluids.

Open application (opens in a new tab)

teaching companion

Enhanced Oil Recovery Teaching Companion

Twelve interactive three-dimensional modules from the pore to the pattern, with ten animated physics schematics; every surface is computed live from the equations on the pane.

Open application (opens in a new tab)

04 — 4 manuscripts under review · 14 published records

Publications

Under review

Manuscripts are listed separately from published work. The date 2026 denotes the manuscript year, not a publication claim.

under review

A Retention-Controlled Screening Framework for Chemical EOR in High-Temperature, High-Salinity Carbonate Reservoirs

Adel, I.A., Al-Shalabi, E.W., and Alameri, W. 2026.

Manuscript under review at Petroleum Exploration and Development.

under review

Critical Trapping Numbers and Capillary Desaturation in Mixed-to-Oil-Wet Carbonates under High-Temperature, High-Salinity Surfactant Flooding

Adel, I.A., Hernandez Moralez, A., Efara, M., Al-Shalabi, E.W., AlSumaiti, A., and Masalmeh, S. 2026.

Manuscript under review at Geoenergy Science and Engineering (Elsevier). Preprint record: doi:10.2139/ssrn.6901958

under review

Techno-Economic Screening of Surfactant Flooding in High-Temperature, High-Salinity Carbonates under Retention Uncertainty

Adel, I.A., Al-Shalabi, E.W., and Alameri, W. 2026.

Manuscript under review at Petroleum Research (KeAi Publishing).

under review

Viscoelastic Polymer Flooding and Residual-Oil Desaturation: A Criteria-Screened Evidence Synthesis, Carbonate Injectivity Bounds, and Experimental Design

Adel, I.A. 2026.

Manuscript under review at Petroleum Science (Elsevier).

Published — journal article and conference proceedings

2025

Optimized Guerbet Alkoxy Carboxylate Surfactant Formulations for EOR in Carbonates Under Harsh Conditions

Adel, I.A., Al-Shalabi, E.W., Hernandez, A., AlAmeri, W., AlSumaiti, A., and Masalmeh, S. 2025.

SPE Europe Energy Conference and Exhibition doi:10.2118/225503-MS Article PDF

2023

A Look Ahead to the Future of Surfactant Flooding EOR in Carbonate Reservoirs under Harsh Conditions of High Temperature and High Salinity

Adel, I.A., Hassan, A.M., Al-Shalabi, E.W., and AlAmeri, W. 2023.

SPE Gas & Oil Technology Showcase and Conference, Dubai, UAE doi:10.2118/214154-MS Article PDF

Numerical Investigation of Hybrid Smart Water and Foam Injections in Carbonate Reservoirs

Hassan, A.M., Tackie-Otoo, B.N., Ayoub, M.A., Mohyaldinn, M.E., Al-Shalabi, E.W., and Adel, I.A. 2023.

SPE Reservoir Characterisation and Simulation Conference and Exhibition, Abu Dhabi, UAE doi:10.2118/212663-MS Article PDF

Numerical Investigation of Hybrid Carbonated Smart Water Injection (CSWI) in Carbonate Cores

Hassan, A.M., Al-Shalabi, E.W., Ghosh, B., Tackie-Otoo, B.N., Ayoub, M.A., and Adel, I.A. 2023.

SPE Gas & Oil Technology Showcase and Conference, Dubai, UAE doi:10.2118/214163-MS Article PDF

2019

Surfactant-Assisted Spontaneous Imbibition to Improve Oil Recovery on the Eagle Ford and Wolfcamp Shale Oil Reservoir: Laboratory to Field Analysis

Saputra, I.W.R., Park, K.H., Zhang, F., Adel, I.A., and Schechter, D.S. 2019.

Energy & Fuels 33 (8): 6904–6920 doi:10.1021/acs.energyfuels.9b00183 Article PDF

Experimental and Numerical Studies of EOR for the Wolfcamp Formation by Surfactant Enriched Completion Fluids and Multi-Cycle Surfactant Injection

Zhang, F., Saputra, I.W.R., Parsegov, S.G., Adel, I.A., and Schechter, D.S. 2019.

SPE Hydraulic Fracturing Technology Conference and Exhibition, The Woodlands, TX, USA doi:10.2118/194325-MS Article PDF

Numerical Investigation to Understand the Mechanisms of CO₂ EOR in Unconventional Liquid Reservoirs

Zhang, F., Adel, I.A., Saputra, I.W.R., Chen, W., and Schechter, D.S. 2019.

SPE Annual Technical Conference and Exhibition, Calgary, Canada doi:10.2118/196019-MS Article PDF

Numerical Investigation of EOR Applications in Unconventional Liquid Reservoirs through Surfactant-Assisted Spontaneous Imbibition SASI and Gas Injection Following Primary Depletion

Zhang, F., Saputra, I.W.R., Adel, I.A., and Schechter, D.S. 2019.

SPE Annual Technical Conference and Exhibition, Calgary, Canada doi:10.2118/196055-MS Article PDF

2018

The Impact of MMP on Recovery Factor During CO₂-EOR in Unconventional Liquid Reservoirs

Adel, I.A., Tovar, F.D., Zhang, F., and Schechter, D.S. 2018.

SPE Annual Technical Conference and Exhibition, Dallas, TX, USA doi:10.2118/191752-MS Article PDF

Enhanced Oil Recovery in Unconventional Liquid Reservoir Using a Combination of CO₂ Huff-n-Puff and Surfactant-Assisted Spontaneous Imbibition

Zhang, F., Adel, I.A., Park, K.H., Saputra, I.W.R., and Schechter, D.S. 2018.

SPE Annual Technical Conference and Exhibition, Dallas, TX, USA doi:10.2118/191502-MS Article PDF

Upscaling Laboratory Result of Surfactant-Assisted Spontaneous Imbibition to the Field Scale through Scaling Group Analysis, Numerical Simulation, and Discrete Fracture Network Model

Zhang, F., Saputra, I.W.R., Niu, G., Adel, I.A., Xu, L., and Schechter, D.S. 2018.

SPE Improved Oil Recovery Conference, Tulsa, OK, USA doi:10.2118/190155-MS Article PDF

Scaling for Wettability Alteration Induced by the Addition of Surfactants in Completion Fluids: Surfactant Selection for Optimum Performance

Zhang, F., Saputra, I.W.R., Adel, I.A., and Schechter, D.S. 2018.

SPE/AAPG/SEG Unconventional Resources Technology Conference, Houston, TX, USA doi:10.15530/urtec-2018-2889308 Article PDF

The Impact of Gas-Assisted Gravity Drainage on Operating Pressure in a Miscible CO₂ Flood

Adel, I.A., Zhang, F., Bhatnagar, N., and Schechter, D.S. 2018.

SPE Improved Oil Recovery Conference, Tulsa, OK, USA doi:10.2118/190183-MS Article PDF

2016

Fast-Slim Tube: A Reliable and Rapid Technique for the Laboratory Determination of MMP in CO₂-Light Crude Oil Systems

Adel, I.A., Tovar, F.D., and Schechter, D.S. 2016.

SPE Improved Oil Recovery Conference, Tulsa, OK, USA doi:10.2118/179673-MS Article PDF

05 — Simulation, reservoir engineering, laboratory

Technical skills

Reservoir simulation
Schlumberger Eclipse (black oil), Petrel; core- and field-scale black-oil, compositional and chemical-flood models; calibration to laboratory data, sensitivity and prediction runs; discrete fracture network models; scaling-group analysis
Reservoir engineering
IOR/EOR scheme screening (surfactant and polymer flooding, gas and CO₂ injection); minimum miscibility pressure and phase behaviour; relative permeability and capillary pressure characterisation; PVT, SCAL and routine core analysis quality control; production and completion data analysis; techno-economic screening with uncertainty and risk
Laboratory
Coreflooding, slim tube MMP determination, capillary desaturation and centrifuge Pc measurement, surfactant phase behaviour and retention, interfacial tension and contact angle, spontaneous imbibition, HPLC, X-ray computed tomography
Analysis
Python for data reduction and figure generation, discounted-cash-flow screening models, production and completion data analysis
Domains
Chemical EOR in carbonates, surfactant and polymer flooding, gas and CO₂ injection, unconventional liquid reservoirs, well stimulation
Digital
interactive engineering applications, research companions, data visualisation and technical dashboards.
Languages
English, Arabic, French
06 — Review and society work

Professional service

Reviewer — SPE Journal

Jan 2017 – present

Scribe — SPE Gas Resources Symposium

Nov 2023

Public Relations Board Co-Chair — Society of Petroleum Engineers — Texas A&M Chapter

Sept 2013 – Aug 2019
  • Directed five committees covering recruitment, outreach, external affairs, and fundraising; organised the annual networking events with SPE Young Professionals and the SPE Gulf Coast Section; presented in the SPE Student Paper Contests of 2014, 2015, 2017, and 2019.
07 — Awards and training

Honours and awards

  • SPE Student Paper Contest 2019 — 1st Place, Texas A&M University Division
  • SPE Student Paper Contest 2019 — 2nd Place, Gulf Coast North America Regional
  • SPE Student Paper Contest 2017 — 1st Place, Texas A&M University Division
  • SPE Student Paper Contest 2017 — 2nd Place, Gulf Coast North America Regional
  • Halliburton Research Scholar (2017–2019)
  • Chaparral Energy Scholar (2015–2017)
  • Joseph A. Marek '57 Scholarship for Academic Excellence
  • Dr. Doug Von Gonten Scholarship for Academic Excellence
  • Distinguished Student Award, Texas A&M Engineering Department

Professional training

High-Performance Liquid Chromatography (HPLC) — 40 hours Eclipse Black Oil Reservoir Simulation — 40 hours Petrel Reservoir Engineering — 24 hours Machine Learning Specialization — Stanford Online (Coursera)