Reservoir
Chevron and Halliburton describe how they built and deployed the fully autonomous closed-loop fracturing system that enables subsurface-driven optimization.
This article from the SPE Integrated Reservoir Management Technical Section (IRMTS) addresses decision timing across the reservoir cycle.
BP said it expects to keep the Azeri-Chirag-Gunashli (ACG) project in production into the 2040s by tapping into separate nonassociated gas reservoirs.
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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.
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After another year of significant consolidation in the US shale sector, Enverus has released its annual list of the nation's largest private exploration companies.
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Machine learning is refining gas lift production optimization with scalable automated workflow.
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The Permian’s produced-water challenge presents an opportunity for innovation to pave the way toward a more sustainable future for the industry.
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The Dallas-based tight oil producer will gain 33,500 acres and approximately 25,500 BOE/D from the latest deal to reshape the US shale sector.
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A May expedition identified 10 mud volcanos on the Norwegian Continental Shelf, and geochemical and biostratigraphy tests are underway to determine the age of the mud and the potential for hydrocarbons.
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This study proposes a hybrid model that combines the capacitance/resistance model, a machine-learning model, and an oil model to assess and optimize water-alternating-gas (WAG) injectors in a carbonate field.