Reservoir
This study demonstrates how routinely acquired downhole temperature data allows for direct estimation of fluid saturations and delivers more accurate reservoir volume assessments, particularly in aquifer-supported systems.
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The deal adds over 1,000 potential drilling locations and almost doubles oil production for Houston-based Magnolia.
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The aim of this study is to address and discuss the reservoir engineering aspects of geological hydrogen storage. -
The honor recognizes recipients for their lasting and significant contributions in the field of IOR.
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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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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.
