Reservoir
Viper Energy is acquiring Sitio Royalties Corp. and its more than 25,000 net acres of royalty interests across major US shale plays.
Extensive acreage overlap and existing operational collaboration drove the acquisition decision.
Best practices are not static; they evolve alongside advancements that redefine what is achievable.
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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. -
After 5 years of in-depth diagnostic research, the Oklahoma City-based operator shares more insights on fracture behavior.
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The era of refracs as mere experiments is long gone; today, they’re a strategic necessity fueling portfolio growth.
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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.
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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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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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This paper aims to present thoroughly the application of subsurface safety injection valves in extremely high-temperature environments.
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These three papers leverage machine learning and hybrid methods to tackle challenges in forecasting, optimization, and reservoir characterization.
