Environment
In a move tied to national security, a Trump-appointed committee voted to exempt oil and gas drilling in the Gulf of Mexico from Endangered Species Act requirements, marking the first such exemption in 3 decades.
Propelling a proposed CCS project from the drawing board to first carbon storage requires overcoming several hurdles.
The Oil and Gas Climate Initiative (OGCI) and nonprofit Carbon Mapper announced they are teaming up to launch a new collaboration aimed at accelerating practical and measurable reductions in methane emissions from the oil and gas industry.
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This paper focuses on developing a model that can be used in an automated, end-to-end flare-smoke detection, alert, and distribution-control solution that leverages existing flare closed-circuit television cameras at manufacturing facilities. -
This study explores the feasibility of implementing in-situ carbon dioxide recycling for sequestration as a fit-for-purpose developmental strategy for a Malaysian gas field characterized by an initial carbon-dioxide content of approximately 60%.
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This study recommends favoring the combustion of ammonia over hydrogen for the purpose of reducing CO₂ and nitrogen emissions.
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Real-time wellhead monitoring aims to help Romania meet new EU methane emission regulations.
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Iraq’s Gas Growth Integrated Project aims to increase electricity generation by capturing flare gas collected from three southern oil fields. A desalination project will use treated seawater to maintain well pressures.
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The agency’s administrator said the program “does nothing to improve air quality.”
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The project is expected to recover up to 300 MMscf/D of flared gas. Plans call for the recovered gas to be converted into treated dry gas, liquefied petroleum gas, and condensate for domestic use and export.
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This research aims to harness the advanced capabilities of artificial intelligence, specifically deep learning and large language models, to develop a comprehensive system for detecting and explaining oil spills.
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This paper presents a physics-informed machine learning method that enhances the accuracy of pressure transient analysis, predicting reservoir properties to enhance waste slurry injection and waste disposal.
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This paper presents a novel methodology for assessing the rapid mineral carbonation of carbon dioxide through geochemical interactions with carbon-, magnesium-, and iron-rich minerals abundant in geological formations.
