Decarbonization
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.
This study explores the carbon-capture and mineralization potential of ultramafic rock powders when exposed to flue gases generated from combustion of crude oil and mesquite-derived charcoal.
This paper presents an approach for safe, efficient, and cost-effective legacy well reabandonment.
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The AI revolution isn't just digital. This article examines how geology underpins the convergence of AI, energy, carbon management, and the infrastructure powering frontier LLMs. -
Winners of Alberta's Drilling Technology Challenge cover a range of technologies from robotics to enhance drilling rig safety to AI-enabled energy management, downhole sensing, well navigation, hybrid power systems, and geothermal energy.
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Located along the North Sea, the Humber is expected to play a central role in the UK’s effort to achieve a net-zero emissions status by 2050.
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The firm’s latest analysis puts the bulk of the blame on a fragmented supply chain.
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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.
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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.
