HSE & Sustainability
This paper presents an approach for safe, efficient, and cost-effective legacy well reabandonment.
This paper presents a flexible, highly cost- and energy-efficient method of gas separation and CO2 capture from many different gas mixtures with a large range of CO2 concentrations.
Emissions management covers a wide array of topics such as carbon capture, use, and storage; emissions monitoring; flare management; methods to improve operational efficiency; carbon accounting; and the effect of emissions management on global and local economics. The papers published in the past year span all these subcategories.
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The firm’s latest analysis puts the bulk of the blame on a fragmented supply chain. -
Sustainable energy continues to grow as a focus for reliable, affordable, and secure energy as seen from the past year of papers reviewed for this feature. Three primary areas are being reported on heavily: carbon use for enhanced oil recovery, geological hydrogen discovery, and critical minerals from the subsurface.
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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 paper explores the development of direct-lithium-extraction technologies designed to recover lithium from unconventional feedstocks.
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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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Ultradeepwater prospects along the northern coast of Brazil could help offset decline in legacy basins, though permitting hurdles remain a wild card.
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The US federal government is working to stymie offshore wind power, but proponents aren’t going quietly. Armed with data, they are taking on a sea of misinformation and hostility to defend the burgeoning resource in the US, while the rest of the world moves ahead briskly.
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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.
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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 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.
