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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This work uses a novel pseudosteady-state-based simulation to reduce training-data-generation cost while maintaining high-performance predictions of data-driven proxy models for carbon-sequestration projects. -
This paper presents a novel approach to predict reservoir porosity by conditioning seismic data, calibrating seismic impedance inversion, and tailoring rock-physics analysis.
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The current challenge in reservoir simulation extends beyond developing better models; it entails creating solutions that are faster, more responsive, and genuinely instrumental in guiding decision-making. The papers selected this year clearly represent this evolution.
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This paper aims to assess the effectiveness of using advanced integrated production-data-analysis techniques for condensate-rich tight gas fields.
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Bridging the gap between foundational guidance and real-world application, SPE’s Oil and Gas Reserves Committee is advancing PRMS education with a new, peer-reviewed training initiative. This article highlights the evolution of the PRMS knowledge base and introduces the PRMS Training Master Slides—a modular, instructor-led framework designed to improve consistency, cl…
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Output is rising fast in the South American shale play and putting Argentina on a course to soon reach 1 million B/D.
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This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
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This case study presents a procedure in which the operator compared production from wells with adjusted wettability to a control group, finding that the adjustments resulted in significant improvements in production and reductions in produced water.
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This year’s selected papers showcase meaningful advances across condensate‑rich tight gas, tight sandstones, and coalbed methane reservoirs, each contributing new tools for improving predictability and field-development efficiency.
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This study aims to systematically assess casing integrity and corrosion risks associated with CO2 injection in oil-recovery operations.
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