Reservoir
More than 150 researchers will work on the Libra Rocks project, which aims to unlock insights that could improve recovery and reservoir management in one of Brazil’s largest offshore oil fields.
The Middle East’s largest unconventional gas development officially begins production as Saudi Aramco targets 6 million BOE/D of gas and liquids capacity by 2030.
Oman is embarking on a renewed effort to deploy the latest hydraulic fracturing technologies and techniques, tailored to its unique reservoirs and challenges.
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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. -
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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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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In this work, a perturbed-chain statistical associating fluid theory equation of state has been developed to characterize heavy-oil-associated systems containing polar components and nonpolar components with respect to phase behavior and physical properties.
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This paper aims to present thoroughly the application of subsurface safety injection valves in extremely high-temperature environments.
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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 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.
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The paper describes a parameter inversion of reservoirs based on featured points, using a semi-iterative well-test-curve-matching approach that addresses problems of imbalanced inversion accuracy and efficiency.
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These three papers leverage machine learning and hybrid methods to tackle challenges in forecasting, optimization, and reservoir characterization.
