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 authors of this paper describe a technology built on a causation-based artificial intelligence framework designed to forewarn complex, hard-to-detect state changes in chemical, biological, and geological systems. -
New studies are a reminder that the effort to identify, classify, and nullify frac hits remains paramount to the future of the unconventionals business.
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North Dakota's EERC argues that the suboptimal frac jobs of yesterday explain why fracture interactions boost production in the tight-oil play.
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Thailand's coal mining giant Banpu said it has signed an agreement to launch a third carbon capture and sequestration project in the US.
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Decades of experience injecting fluids into the ground has revealed a fundamental truth: No two injection sites are the same. A thorough understanding of site-specific conditions is essential to ensure safe and secure long-term subsurface disposal of carbon dioxide.
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The transaction will add significant high-quality inventory offset to Permian Resources’ existing core acreage in New Mexico.
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The acquisition of Crestwood Equity Partners extends Energy Transfer’s position deeper into the Williston and Permian basins and provides entry into the Powder River Basin.
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The challenge of sustaining shale production is growing larger.
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This article presents the application of a reinforcement learning control framework based on the Deep Deterministic Policy Gradient. The crack propagation process is simulated in Abaqus, which is integrated with a reinforcement learning environment to control crack propagation in brittle material. The real-world deployment of the proposed control framework is also dis…
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Calgary's Strathcona Resources is adding 35,000 BOE/D in a deal that will boost its total output to 185,000 BOE/D.
