Completed Projects

Results are reviewed by an external Scientific Advisory Board, and our team works to disseminate the results and launch external engagement strategies to broadcast our findings to the broader research community. View summaries and results from our completed projects below.

Permian Emissions Survey by Equipment Type

Research Team:

SLR International Corporation

Bridger Photonics

Principle Investigator: Matt Harrison (SLR)

Research Objective: This project identified and quantified high-emitting pieces of equipment within the Permian basin to inform the prioritization for repair of leaking equipment. Researchers analyzed the frequency and volume of emissions by equipment type using anonymous baseline leak rate data from equipment. This information is crucial in determining the most effective mitigation strategies and how best to deploy resources to address leaks.

Methane Emission Estimation Tool (MEET)

Research Team:

The University of Texas at Austin

Colorado State University
Energy Institute

Colorado State logo

Principle Investigator: Dr. David Allen (UT)

Research Objective: This project designed a computer model to simulate methane and other hydrocarbon emissions from the onshore natural gas industry over time. The goal of the MEET model is to develop a freely available and flexible tool for constructing methane emission inventories representative of several key production areas.

This open-source model gathers emissions and activity data from published research, or from custom data entered by the user, to allow for customization and/or aggregation of emission estimates across a variety of scales. Segments and modules of the model include onshore well sites, compression and boosting, and emissions composition estimation. The results offer an open-source emission estimation tool representative of realistic emission patterns for equipment types – not simple steady state emission assumptions.

Project Astra: Fixed Sensor Network Intercomparison

Research Team:

Project Astra

The University of Texas at Austin

Colorado State University

Colorado State logo

Principle Investigator: Dr. David Allen (UT Austin)

Research Objective: Real-world testing was performed in this project to determine the accuracy and efficacy of commercially available, high-frequency sensors. The research team collected and analyzed emissions monitoring data from seven sensors in a series of single-blind challenges and compared the results to established baselines. The results of this study informed the selected of sensors for Project Astra’s pilot network in the Permian Basin.

Satellite-Based Measurement Data

Research Team:

Harvard University

Geosapient

Innovative Imaging and Research

Principle Investigator: John Kelley (GeoSapient), Dr. Daniel Jacob (Harvard)

Research Objective: This project examined the capabilities and limitations of today’s satellite-based methane detection technologies, methods, and data analytics for inferring methane emissions from the global scale down to point sources. The research team identified technology gaps and provided considerations for addressing them in future generations of satellites.

Measuring Offshore LNG Emissions

Research Team:

Imperial College London

SLR International Corporation

Principle Investigator:  Dr. Paul Balcombe (QMUL)

Research Objective: This project produced credible, independent datasets on emissions associated with offshore LNG transport by directly measuring and quantifying methane and CO2 emissions from an operating LNG vessel. The research team utilized measurement data from continuous monitoring systems and optical gas imaging in tandem with modeling of an LNG carrier ship to then determine effective methods for quantifying emissions and estimating fugitive emissions from venting and incomplete combustion.

Project Astra: Digital Twin Methane Monitoring Network

Research Team:

The University of Texas at Austin

Colorado State University
Energy Institute

Colorado State logo

Principle Investigator: Dr. David Allen (CSU)

Research Objective: This project assessed the effectiveness of continuous sensor network configurations in detecting infinite and fixed-duration emission events as a part of Project Astra. Dispersion modeling and Monte Carlo simulations were used to evaluate detection capabilities and demonstrate the sensitivity of sensor networks to emission event characteristics, sensor placement and configuration, and meteorological conditions.