Reservoir
Beetaloo Energy and Halliburton have signed an MOU to advance Beetaloo Digital, a proposed gas-powered AI data center hub in Australia’s Northern Territory that could create a new long-term market for Beetaloo Basin gas.
The ultrasonic wellbore imaging firm is being taken over by Blackstone, the world's largest alternative asset manager.
This article from the SPE Integrated Reservoir Management Technical Section (IRMTS) addresses decisions that look stronger than they are and take longer to implement than the reservoir can afford.
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This year’s selected papers showcase meaningful advances across condensate‑rich tight gas, tight sandstone, 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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This study applies Monte Carlo simulation and an XGBoost regression model to assess the influence of various formations, geologic provinces, tectonic-plate types, and boundary conditions on hydrogen concentrations.
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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 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.
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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.
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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.
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This paper presents a novel approach to predict reservoir porosity by conditioning seismic data, calibrating seismic impedance inversion, and tailoring rock-physics analysis.