Decarbonization

This work introduces an analytical model for nonisothermal CO2 injection that accounts for both Joule-Thomson cooling and interformation heat exchange.

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.

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.

The firm’s latest analysis puts the bulk of the blame on a fragmented supply chain.

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.

This study aims to systematically assess casing integrity and corrosion risks associated with CO2 injection in oil-recovery operations.

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.

This paper explores the development of direct-lithium-extraction technologies designed to recover lithium from unconventional feedstocks.