Reservoir
The biggest sand haul ever reported by service provider Enercorp is a reminder that proppant flowback is a mounting challenge for shale producers.
The acquisition of Advance Energy Partners shows that private equity groups are successfully maintaining premium valuations for core assets.
M&A market activity in the fourth quarter fell from the third-quarter high to $13 billion.
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The opening ceremony highlighted maximizing production sustainably to meet global demand, integration of simulation and optimization in a single platform with automation, and energy security.
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A critical challenge for those designing carbon dioxide storage sites is predicting where the injected gas will go. One of the only sure bets is to assume that any model of a gas plume that looks symmetrical is likely wrong.
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The SPE Hydraulic Fracturing Technology Conference and Exhibition is being held 31 January–2 February in The Woodlands, Texas.
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This work explores the synergistic effects of smartwater in polymerflooding, surfactant/polymerflooding, carbonated waterflooding, and foam-assisted gas-injection.
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Our industry has consistently demonstrated resilience, adaptivity, and creativity. In the era of industry transition to low-carbon operations, opportunities exist for selective EOR methods to revive and contribute. The selected papers in this feature include examples of innovative approaches for developing efficient EOR schemes and advanced modeling and optimization.
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SPE technical papers synopsized in each monthly issue of JPT are available for free download for SPE members for 2 months. These December and January papers are available now.
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The authors of this paper describe a three-way coupled modeling approach that integrates dynamic, geochemistry, and geomechanics models to obtain cumulative effects of all three changes to evaluate future carbon dioxide storage.
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In this study, surfactants that can alter wettability or develop ultralow interfacial tension were identified through laboratory measurements for a target carbonate reservoir.
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The authors of this paper present an application of a Bayesian framework for uncertainty assessment and efficient history matching of a Permian CO2 enhanced oil recovery field for reliable production forecast.
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Industry leaders are harnessing the power of data to improve efficiencies, eliminate nonproductive time, and reduce Capex.
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