Environment
GeoMap Europe is the latest in a series of interactive global geothermal maps that combine large subsurface and surface data sets to highlight where geothermal resources and development opportunities are strongest for power, heat, cooling, and storage.
Regulators pull from experiences in the oil and gas industry to define best stewardship practices for the nascent CCS industry.
A newly formed global coalition, Carbon Measures, aims to develop a ledger-based carbon accounting framework and champion market-based solutions to drive emissions reduction.
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The freely accessible online platform is the latest in a series of maps designed to reveal the continent’s untapped geothermal potential. -
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.
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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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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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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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