shale
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Regional pore-pressure variations in the Leonardian and Wolfcampian-age producing strata in the Midland and Delaware basins are studied using a variety of subsurface data. -
Machine learning and a decade of gas composition records helped the operator identify wells that were most likely to produce paraffins.
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This paper presents a workflow that combines probabilistic modeling and deep-learning models trained on an ensemble of physics models to improve scalability and reliability for shale and tight-reservoir forecasting.
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One hydraulic fracturing job can stimulate two wells, but economic success hinges on doing it in the right place for the right price.
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The new frontier of production improvement combines surveillance techniques and analysis to determine which variables boost output.
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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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The chief operating officer of Chesapeake Energy tells the Unconventional Resources Technology Conference that small wins can pave the path to big achievements.
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The second major deal in the US proppant industry this year will see US Silica go forward as a private company.
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A 44-well development tests what ConocoPhillips has learned about maximizing the value of the wells by figuring out how they drain the reservoir.
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Chevron has some new ideas on how to get more oil for less cost out of shale wells in their early years.
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