Reservoir
This paper discusses waterflooding and field-development implications of subsea seawater treatment for improved oil recovery.
This paper presents laboratory-testing methods and evaluation criteria designed to improve understanding of both the origin and extent of formation damage associated with CO2 injection.
This paper details the design and implementation of a subsea multiphase pump solution deployed in the Atlanta field designed to maximize reuse of existing subsea and topside equipment.
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The aim of this study is to address and discuss the reservoir engineering aspects of geological hydrogen storage.
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This paper details how the reservoir modeling workflow can be accelerated, and uncertainty reduced, even for challenging greenfield prospects by constructing multiple small fit-for-purpose integrated adaptive models.
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The authors investigate the utility of applying unconventional technology to low- or variably producing carbonate reservoirs to increase estimated ultimate recovery and decrease development-scale variability.
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The integration of artificial intelligence/machine learning with traditional workflows marks a turning point, unleashing the immense potential of these proven techniques to address our everyday challenges in reservoir simulation.
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Unconventional reservoirs bear a unique perplexity in that, at every scale, they are different from their conventional counterparts and even one another. This month’s selection of papers is all about those differences.
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The honor recognizes recipients for their lasting and significant contributions in the field of IOR.
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By acquiring Eni’s two producing shallow-water assets, Hilcorp will become the largest offshore oil producer on Alaska’s North Slope.
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The acquisition underscores the rapid rise of the unconventional oil play in northeastern Utah that producers claim offers better margins than the Permian Basin.
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Pilots and papers are plentiful, but the shale sector has no big enhanced oil recovery projects to speak of. It may just have to stay that way for a while.
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Operators tell an audience at the Unconventional Resources Technology Conference how a hybrid expandable liner system and machine-learning-based analysis improve the bottom line.