Decarbonization
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.
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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SponsoredWith almost three-quarters of the global greenhouse gas emissions coming from the energy sector, there is a heavy burden and a huge responsibility on the shoulders of all countries of the world to transform the energy sector to be cleaner and greener by eliminating these emissions. -
With a successful pilot under its belt, Thailand's national oil company is planning a bigger production unit.
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The company has added a new Southeast Asia carbon storage study to its growing library of carbon capture, use, and storage opportunities.
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After becoming the first oil and gas major to source all its onshore grid electricity needs from nuclear and solar energy, ADNOC now focuses on decarbonizing production offshore.
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This paper presents a case study on injectivity tests to prove the concept of carbon capture, use, and sequestration capability, describing the design of surface and downhole testing systems, lessons learned, and recommendations.
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Executives from BKV Corp. share why the mid-sized natural gas producer is diving headfirst into carbon sequestration projects and why you should too.
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The authors of this paper investigate the application of two seismic monitoring methods in monitoring carbon leaks: full waveform inversion and reverse-time migration.
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This paper describes a method with multitiered analysis to leverage machine-learning techniques to process passive seismic monitoring data, pumping and injection pressure, and rate for fracture and fault analysis.
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The contractor will be responsible for both pipeline and platform installation related to Petronas’ ambitious CCS project offshore Sarawak.
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The project’s revised development plan now incorporates a carbon capture facility.
