Publications

Quantifying Methane Emissions from the Global Scale Down to Point Sources Using Satellite Observations of Atmospheric Methane

APRIL 2022 | Atmospheric Chemistry and Physics
A pre-print in the ACP journal that reviews the capabilities of current and planned satellite observations to quantify methane emissions from the global scale down to point sources. The past few years have brought forth new satellite instruments for measuring atmospheric methane and new capabilities for detecting methane point sources from space, and new satellite instruments and capabilities are expected in the next few years. Motivated by these new developments, the review covers retrieval methods, precision and accuracy requirements, inverse methods for inferring emissions, source detection thresholds, and observing system completeness.

Field Inter-Comparison of Low-Cost Sensors for Monitoring Methane Emissions from Oil And Gas Production Operations

MARCH 2022 | Atmospheric Measurement Techniques
A pre-print in the AMT journal that presents findings from a new field study showing that multiple commercially available sensing systems are suitable for long term methane emission monitoring in remote oil and gas production. To conduct the study, researchers at the University of Texas tested four solar-powered methane sensing systems with remote communication capabilities at an oil and gas production site in west Texas over a nine-month period. Funding for this research was provided by CAMS, Environmental Defense Fund, ExxonMobil, Pioneer Natural Resources, and AT&T.

A Methane Emission Estimation Tool (MEET) for Predictions of Emissions from Upstream Oil and Gas Well Sites with Fine Scale Temporal and Spatial Resolution: Model Structure and Applications

MARCH 2022 | Science of the Total Environment
A peer-reviewed article by University of Texas researchers in press by the journal Science of the Total Environment presents the capabilities of MEET as a tool for estimating routine emissions from oil and gas well sites at multiple time scales. Additional work describes MEET’s capabilities for gathering and compression stations and MEET’s capabilities for estimating emission composition. MEET is a modular model and is freely available to the public. Funding to perform this work was provided by CAMS.

Modeling Air Emissions from Complex Facilities at Detailed Temporal and Spatial Resolution: The Methane Emission Estimation Tool (MEET)

FEBRUARY 2022 | Science of the Total Environment
A peer-reviewed article by University of Texas researchers in press by the journal Science of the Total Environment shows how the landmark Methane Emission Estimation Tool can be used to model temporally and spatially resolved inventory emissions at compressor station emissions – the key facility type in midstream natural gas operations. Funding to perform this work was provided by CAMS.

Permian Basin Survey: An array of aerial surveys in the Permian Basin to acquire the baseline distribution of methane emission rates and sources

AUGUST 2021
A Scientific Insights article highlights results from a study aimed at identifying and statistically analyzing leaks and leak rates in the Permian Basin by type of equipment. Read the CAMS white paper to learn more about the results and efforts to assess capabilities of an airborne LiDAR technology for detecting and quantifying methane leaks in the Permian.

The Methane Emission Estimation Tool: A Model for Developing Fine Scale Spatial and Temporal Methane Emission Estimates for Oil and Gas Basins

JUNE 2021
A Scientific Insights article describes the Methane Emission Estimation Tool (MEET), a community modeling tool developed with the support of CAMS by researchers at the University of Texas and Colorado State University for constructing inventories of methane emissions from oil and gas operations.

A Searchable Database for Prediction of Emission Compositions from Upstream Oil and Gas Sources

FEBRUARY 2021 | Environmental Science & Technology
A peer-reviewed article by University of Texas researchers published in Environmental Science & Technology (ES&T) presents a database tool that can be used to estimate emissions compositions at oil and gas production sites. Funding to perform this work was provided by CAMS.