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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A final investment decision is also expected by the end of the year for the company’s first low-carbon data center project. -
The company said its frequency of serious incidents was down at the end of the year from its levels at the end of 2024.
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The Doyon 26 drilling rig, reportedly the largest mobile land rig in North America, fell on its side while being transported in Alaska’s North Slope, sending eight people to area clinics for treatment of non-life-threatening injuries.
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Damage to power distribution systems prompted precautionary shutdowns at two major oil fields.
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The report says the capacity of renewables in the region is set to grow tenfold by 2040 as electricity demand and new sectors drive rapid solar and wind expansion.
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The North Sea Transition Authority has updated its UKCS Well Applications and Consents Guidance to include the process for applying for consent to drill carbon-storage wells.
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For more than a century, LSU has shaped petroleum engineering education, but few assets showcase its impact like the PERTT Lab. With six deep test wells and rare reservoir-depth gas-injection capabilities, the facility is helping drive breakthroughs in well control, carbon-dioxide injection, and next-generation energy technologies.
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Experience in subsurface production and lift design is shaping a new generation of geothermal operations built for reliability and scalability.
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This work presents the development of fast predictive models and optimization methodologies to evaluate the potential of carbon-dioxide EOR and storage operations quickly in mature oil fields.
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The authors of this paper apply a deep-learning model for multivariate forecasting of oil production and carbon-dioxide-sequestration efficiency across a range of water-alternating-gas scenarios using field data from six legacy carbon-dioxide enhanced-oil-recovery projects.
