Emission management
This article describes a technology combining a compression unit with a flexible line to offer a flaring alternative for transferring hydrocarbons.
This paper describes a deep-learning image-processing model that uses videos captured by a specialized optical gas-imaging camera to detect natural gas leaks.
This paper aims to provide insights to address the challenge of identifying the optimal point within the gas-processing lineup for recovering a high-purity CO₂ stream suitable for sequestration.
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The UK’s offshore oil and gas industry has committed to halving operational emissions in the next decade, confirming its pathway to becoming a net-zero emissions basin by 2050. -
Recommendations include changes to current forms and reports used to track flaring.
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Machine learning enables fast, cost-effective, and accurate methane emissions detection in remote areas.
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Tracking down fugitive emissions has traditionally relied on small-scale detection efforts. This new project seeks to buck the trend by covering the Permian Basin with sensors.
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Video shows a substantial share of oil and gas flares are unlit or faulty, revealing a previously overlooked methane source that could turn out to be one of the region’s biggest.
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Enough gas to supply 7 million homes is leaking into the atmosphere above oil fields in Texas and New Mexico, the largest plume of climate-change-driving methane pollution ever recorded over a US oil field, a new study from Harvard University and Environmental Defense Fund shows.
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The combined effect of COVID-19 and an ongoing oil price war has ushered in one of the worst downturns for the energy industry in modern history. Yet, a bright side is shining through; flaring levels in the Permian Basin have fallen sharply and will continue to decline, a Rystad Energy report shows.
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Methane, a powerful greenhouse gas, is leaking from industry sites at rates equivalent to the annual carbon emissions of France and Germany combined, a new analysis using satellite data shows.
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A system proposed by researchers at the University of California, Santa Barbara, uses hyperspectral imaging and machine learning to detect the specific wavelength of methane emissions.
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The largest oil and gas major in the US is calling for tighter rules around methane monitoring, wellhead venting, and the replacement of equipment components with “high-leak potential.”
