Reservoir
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
This paper presents a study that confirms glass-reinforced-epoxy-lined tubing as a reliable, cost-effective solution for long-term water-injection service in moderate-salinity offshore environments.
This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.
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The paper describes a multientry multistage fracturing technology developed to enable longer laterals, increase stage counts, improve stimulation efficiencies, and derisk operations. -
This work demonstrates that a carefully engineered wireline perforation strategy can address the challenges of long-interval high-pressure/high-temperature completions with large intrareservoir-pressure differentials safely and effectively.
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This paper describes modeling work performed to design fracturing treatment and spacing for wells in the Project Cape enhanced geothermal system in Utah.
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The award comes as a contract release purchase order under a long-term agreement that simplifies ongoing efforts to maintain mature field production in Saudi Arabia.
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With the Vaca Muerta home to some of the world’s most-productive wells, and the Permian still going strong, if increasingly gassier, Rystad sees shale as resilient.
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The agreement follows the discovery of 724 million BOE in unconventional oil and gas reserves in November.
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Westwood links 2026 exploration outcomes to policies, with operators offshore Norway finding seven times more resources than those offshore the UK.
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The purchase includes approximately 260 producing wells and expands Caturus’ footprint in the Eagle Ford and Austin Chalk.
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The asset sale to an undisclosed buyer includes 360,000 net acres in Oklahoma.
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This study reveals how production-induced depletion and geomechanical stress changes influence child-well performance in the Midland Basin, combining coupled simulations and machine learning to guide optimal well spacing, timing, and placement for infill development.
