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This work presents an integrated multiphase flow model for downhole pressure predictions that produces relatively more-accurate downhole pressure predictions under wide flowing conditions while maintaining a simple form.
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This study describes a technique combining borehole acoustic reflection imaging with production logging in a horizontal well experiencing high water cut with the aim of enabling a mitigation plan.
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The retrofit merged enhanced gravity separation with induced gas flotation within the same vessel. Detailed insights into the design, operation, and performance of hybrid flotation systems are provided, offering valuable guidance for similar initiatives in the petroleum industry.
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This paper proposes two new methods of accelerating the solidification (or mineralization) of CO2 in subsurface conditions, thus accelerating the cycle of the CO2 storage process.
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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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This paper examines the shortfalls of current CO2 capture and storage measures and their future within the context of increasing global consumption of fossil fuels.
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SPE President Terry Palisch is joined by SPE CEO Simon Seaton to discuss the member value survey and what is new with ATCE.
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Chevron recently revealed new details about its first-of-a-kind deepwater development in the Gulf of Mexico. We’ve picked some of the most interesting to share with you here.
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Digital transformation presents a crucial opportunity to cut costs across business domains. This review explores unique digital transformation opportunities in the petroleum industry, highlighting valuable business process automations that can drive significant benefits.
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Both new and old vessels are benefiting from automation processes that can improve operational efficiency, predict downtime, and debottleneck workflows using a flurry of crucial data points.
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The honor recognizes recipients for their lasting and significant contributions in the field of IOR.
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