HSE & Sustainability
This paper reviews a proof-of-concept project in which surplus casing pipes were used in the fabrication of purposefully designed artificial reef structures for the enhancement of biodiversity and commercial fisheries.
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 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 study recommends favoring the combustion of ammonia over hydrogen for the purpose of reducing CO₂ and nitrogen emissions.
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This study explores the feasibility of implementing in-situ carbon dioxide recycling for sequestration as a fit-for-purpose developmental strategy for a Malaysian gas field characterized by an initial carbon-dioxide content of approximately 60%.
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With artificial intelligence and online training both on the rise, it's crucial to ensure workers and companies treat safety as more than a box-checking exercise.
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The technology to desalinate and reuse produced water for cooling AI data centers in the Permian Basin exists, but addressing cost challenges remains critical to widespread adoption.
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Real-time wellhead monitoring aims to help Romania meet new EU methane emission regulations.
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The supermajor’s Energy Outlook 2025 suggests geopolitical fragmentation could tilt the balance of the energy trilemma toward energy security and away from sustainability.
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Iraq’s Gas Growth Integrated Project aims to increase electricity generation by capturing flare gas collected from three southern oil fields. A desalination project will use treated seawater to maintain well pressures.
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The agency’s administrator said the program “does nothing to improve air quality.”
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The project is expected to recover up to 300 MMscf/D of flared gas. Plans call for the recovered gas to be converted into treated dry gas, liquefied petroleum gas, and condensate for domestic use and export.
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This research aims to harness the advanced capabilities of artificial intelligence, specifically deep learning and large language models, to develop a comprehensive system for detecting and explaining oil spills.