Emission management
Emissions management remains an active and crucial research area in the oil and gas industry. It is a broad research category spanning several different directions. The papers of the past year demonstrate the rich diversity of ideas and analytical techniques used for tackling different research questions in this space.
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 recommends favoring the combustion of ammonia over hydrogen for the purpose of reducing CO₂ and nitrogen emissions.
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The authors of this paper describe an initiative taken to measure baseline data for methane emission for gas-processing facilities and gas-transmission and regasification units by using accurate tools and methodologies for detection and quantification. -
SponsoredImprove modeling accuracy and reduce the risk of unplanned downtime. By eliminating the need for multiple applications, get more accurate and comprehensive pressure safety studies faster.
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The funding aims to support 22 projects to advance technologies to monitor, measure, and mitigate methane emissions across the US natural gas supply chain.
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Three leading global financial institutions recently announced updated environmentally linked targets aimed at reducing by 2030 their financed emissions in carbon-intensive sectors, including oil and gas.
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BPX Energy, BP’s US onshore upstream business, has expanded MiQ certification to 100% of BP’s US onshore facilities in Texas and Louisiana.
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This case study highlights the effectiveness of unmanned aerial systems in enabling land-based operators to assess the relative seriousness of leaks efficiently by both localizing and quantifying their methane emission rates.
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This paper discusses how methane detection from oil and gas infrastructure using remote sensing technologies enables operators to quantify and minimize the emissions while gaining insight and an understanding of their operations through data analytics.
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Oil and gas companies are betting on the use of drones and robots for leak detection and methane emissions reduction.
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Industry consortium pilot project successfully demonstrates the significant potential of satellite technology in methane emissions detection and mitigation.
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The University of Texas at Austin will be home to a multidisciplinary research and education initiative, the Energy Emissions Modeling and Data Lab, which aims to address the growing need for accurate, timely, and clear accounting of greenhouse-gas emissions across global oil and natural gas supply chains.
