Reservoir
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.
Xu outlines the thinking and theories that led his team to six world-class oil discoveries that total more than 100 million tons of proven geological reserves since 2021.
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This paper highlights nontraditional methods to cure oil-based-mud losses in horizontal wells drilled in unconventional plays. -
The authors of this paper describe reservoir-fluid-geodynamics processes that explain the reasons behind varying oil compositions and properties within and across different reservoir compartments.
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Interfacial tension keeps oil and water separate by resisting the mixing of their molecules at the surface. Learn how industry experts measure this force to diagnose fluid behavior.
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The SPE Reservoir Advisory Committee has updated its "state of the reservoir technical discipline" document. The new edition is available for free download.
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The operator’s deepwater discovery in the Gulf of Mexico is potentially commercial, and government analysis indicates the gulf holds 1.3 billion BOE more reserves than estimated.
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The test marks a milestone in the Poseidon CCS project, which aims to store carbon dioxide in the depleted gas reservoir below the Leman development in the southern North Sea.
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The company credited its theory of shale oil enrichment for the significant increase in the quantity of proven reserves at the field.
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In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems.
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This work investigates the root cause of strong oil/water emulsion and if sludge formation is occurring within the reservoir using a robust integrated approach.
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This study presents a production-optimization method that uses a deep-learning-based proxy model for the prediction of state variables and well outputs to solve nonlinearly constrained optimization with geological uncertainty.
