greenhouse gases

This paper presents efforts to reduce greenhouse-gas emissions and increase energy efficiency through the use of a real-time monitoring tool on exploration and production operated assets.

This paper investigates the use of machine learning to rapidly predict the solutions of a high-fidelity, complex physics model using a simpler physics model.

The revisions to the Greenhouse Gas Reporting Program aim to bring greater transparency and accountability for methane emissions from oil and natural gas facilities.

This paper describes a chemical-free process with a small footprint designed to capture exhaust from natural gas drive compressors and supporting gas-fueled production equipment.

An innovative aircraft-based technique recorded carbon emissions not tracked before from the industrial region.

Appropriate data standards do not restrict creativity and innovation, they enable it. Being a little cynical, I guess we just do not value clarity, quality, or productivity over empowerment to do things our own way. “Why can’t we all just get along?”

The emissions intensity of production is expected to decline further because of the continued shift toward newer and more productive operations in the deep water and other factors.

This study catalogs global gas/oil ratio data to identify currently produced light crude oils that could be rendered carbon neutral through the direct-air-capture mechanism.

The intensity of methane and greenhouse-gas emissions from the oil and gas sector declined 28% and 30%, respectively, between 2019 and 2021 among the largest producers in the country, according to an analysis published by the nonprofits Clean Air Task Force and Ceres.

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.