Formation evaluation
The authors of this paper propose a hybrid approach that combines physics with data-driven approaches for efficient and accurate forecasting of the performance of unconventional wells under codevelopment.
This paper develops a deep-learning work flow that can predict the changes in carbon dioxide mineralization over time and space in saline aquifers, offering a more-efficient approach compared with traditional physics-based simulations.
The authors of this paper propose an artificial-intelligence-assisted work flow that uses machine-learning techniques to identify sweet spots in carbonate reservoirs.
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The US Department of Energy’s Office of Fossil Energy and Carbon Management awarded a total of $600,000 to four software developers who won a contest to support FECM’s Science-Informed Machine Learning to Accelerate Real-Time Decisions in the Subsurface Initiative.
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The authors outline a case study involving the integration of static measurements to improve understanding of reservoir properties and support more-accurate reservoir evaluation.
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The authors develop a representative geostatistically based 3D model that preserves geological elements and eliminates uncertainty of reservoir properties and volumetric estimates for a Libyan field.
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The authors examine a theory that low resistivity in a Chinese reservoir is caused by bound water trapped in clay minerals and develop an improved model for production prediction of offset wells.
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In this new decade, the prevalence of integration is at the forefront of the scientific community. Every discipline, scientist, or company has a way in which they define the term “integration.” Regardless of how you define the effort that links disciplines quantitatively, the importance of constraining subsurface characterization to link it to production results and d…
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The Norwegian Petroleum Directorate and Equinor have announced the biggest discovery so far this year on the Norwegian Continental Shelf. Three wildcat wells drilled in the Blasto prospect near the Fram field confirmed the find and were then permanently plugged and abandoned.
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An openhole advanced formation-evaluation approach is presented that enables assessment of tight-matrix and natural-fracture systems at a level not previously accomplished.
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The interpretation of well tests, combined with petrophysical analysis, formation-test data, and production logs, provided insight into Khuff reservoirs.
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The paper outlines examples from tight gas reservoirs in two fields in which openhole data was unavailable and petrophysical analysis was undertaken using cased-hole data.
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The papers explore innovative approaches developed by authors of SPE conference papers toward avoiding data bias, working around the absence of openhole data, and reducing the uncertainty of mass-transport complexes.