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March Luncheon - Dr. Wahid Rahman, Impac Exploration
March Luncheon - Dr. Wahid Rahman, Impac Exploration

Wed, Mar 06


Pioneer Natural Resources

March Luncheon - Dr. Wahid Rahman, Impac Exploration

Geochemistry for Unconventional: Hydrocarbon Phase Prediction, Production Allocation, and Reservoir Monitoring

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Time & Location

Mar 06, 2024, 11:30 AM – 1:00 PM

Pioneer Natural Resources, 777 Hidden Ridge, Irving, TX 75038, USA

About The Event

Geochemistry data (source rock maturity, maturity equivalent from oil, bulk molecular compositions (GC) and biomarker (GCMS) ratios) from the extracts of cored or cutting samples vs produced oil from well head have been compared to predict oil family types, migration, mixing of hydrocarbon between various reservoired oils, GOR (gas-to-oil ratio), and allocate production contribution to different reservoirs from different US on shore basins (e.g., Anadarko, Permian, Eagle Ford and Rockies basins). Furthermore, the predicted GOR (gas-to-oil ratio) values from the same oil chemistry data are well matched with the produced GOR and estimated GOR from the recombined fluid samples.

Molecular geochemistry data of rock cuttings collected during drilling can be a cost-effective way to provide a better understanding of hydrocarbon composition and production contribution within a lateral well. Studies have shown that molecular chemistry data can be used via many statistical techniques to identify the end member contribution from different wells or from whole basin. But molecular chemistry (GC, GCMS) from a single well application to allocate production contribution is relatively less understood because of failure to pinpoint the end members hydrocarbon from different horizon. A system of machine learning methods is used to evaluate each feature’s ability to discriminate samples and determine representative features showing variation between different formations or sublayers. Deep learning regression methods are used to quantify end member contributions to the commingled produced oil.

These case studies highlight many important ways in which geochemistry can be used to better evaluate unconventional reservoirs: 1) by identifying the existence and extent of hydrocarbon migration, 2) by predicting and understanding the quality and type of petroleum fluids stored in tight, unconventional source rocks, 3) by explaining high GOR anomalies as the result of multiple charging episodes in certain areas in tight reservoirs and 4) finally to properly identify the host rock end members and allocate the production accordingly.

Speaker’s bio:

Dr. Wahid Rahman is currently working as the Director of Geoscience at Impac Exploration Services, Houston, Texas. Dr. Rahman has previously worked as Sr Staff Scientist/Program Coordinator at TCEQ, Austin, Texas; as Director of Geoscience at GPR, Inc, Houston, Texas; as Chief Geochemist at Paladin Geological Services, Edmond, OK; as Geological Adviser at Ossidiana Energy, Denver, CO; as Adviser Geochemist-Petroleum Systems Analyst at Pioneer Natural Resources, and Devon Energy Corporation. Wahid has 20+ years of industry, academic, and research experience as Geochemist and he has worked on most of the North American unconventional and conventional basins and many international basins. He has over 50 conference presentations, and peer reviewed journals (with more than 821 citations) in the field of geochemistry, environmental geochemistry, and geology. He received his Ph.D. in Organic Geochemistry from Southern Illinois University, Carbondale, IL; M.S. in Geology from Auburn University, Auburn, AL; M.S. and B.S. in Geology from University of Dhaka, Dhaka, Bangladesh.


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