HSE & Sustainability
This paper presents an approach to the identification, selection, and implementation of initiatives for sustainable water management, withdrawal reduction, and water valorization.
This paper presents an experiment investigating dissolution of basaltic primary minerals and conditions favorable for secondary phase formation under deep subsurface storage conditions.
This study aims to investigate the efficacy of chemical additives strontium chloride and barium hydroxide in accelerating CO₂ trapping mechanisms, their effect on dissolution of carbonate-bearing minerals, and resulting poroelastic changes in the host rock.
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This paper presents Saudi Aramco’s efforts to reduce flaring throughout its operations, beginning with the development of its Master Gas System. -
Through a swap transaction, the Norwegian major will take over full ownership of the Empire Wind project from BP while the British major will take full ownership of the Beacon Wind project.
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The strategy is part of larger interagency effort to promote recovery of the North Atlantic right whale while responsibly developing offshore wind.
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Backed by more than $28 million in fresh investments, XGS Energy is prepping to introduce a new technology called thermal reach enhancement.
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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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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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Two supermajors exit California, and the US put the brakes on permits to export LNG.
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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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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.
