Projects &

Well-respected research is the cornerstone of our work. Our projects are focused on building long-term understanding and filling in gaps in the scientific body of knowledge that informs emissions reduction strategies.

Results will be reviewed by an external Scientific Advisory Board, and our team will work to disseminate the results and launch external engagement strategies to broadcast our findings to the broader research community.

All of this is made possible by combining resources into a single unified approach that leverages all datasets, avoids redundancy, and maximizes efficiency.

Roadmap For Research and Development

timeline of CAMS development from Q1 2018 to Q4 2023

MEET: Designed to become world’s the most comprehensive emission estimation tool for production sites in the world.

Methane Emission Estimation Tool (MEET)

The Methane Emissions Estimation Tool (MEET) is a computer model built 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. Industry segments in the model include onshore natural gas production, gathering and boosting, gas processing, and transmission and storage. The results offer an open-source emission estimation tool representative of realistic emission patterns for equipment types – not simple steady state emission assumptions.

The first part of the MEET model – the Emissions Composition Tool (ECT) – is a database that can be queried to estimate hydrocarbon compositions from emission sources present at production sites. You can learn more and download it from the UT Austin website. Additional information on the MEET research can be found under the CAMS Publications tab.

Value: The data will inform resource prioritization for repair of leaking equipment.

Permian Emissions Survey By Equipment Type

This project resulted in the identification and quantification of high-emitting pieces of equipment within the Permian basin—informing resource prioritization for repair of leaking equipment.

Using anonymous baseline leak rate data from equipment, the project will provide the ability to analyze the frequency and volume of emissions by equipment type. This information will help us identify the most effective mitigation strategies and how best to deploy resources to address leaks.

Data collected during this survey will be used to develop a use case for the MEET model—along with other top-down data from sources such as Permian MAP, Tropomi, and others to demonstrate reconciliation of uncertainty associated with top-down data collection, treatment, and extrapolation methods.

This additional dataset will help discern optimal placement of a mesh methane monitoring network and provide actionable data to address real-world emissions scenarios in the Project Astra West Texas Methane Showdown project.

Value: This project will validate the MEET model in real-world scenarios and produce emission profiles for equipment in different modes of operation and over time.

Project Astra Digital Twin

The Project Astra Digital Twin will determine the design of a sensor mesh network using a digital simulation of the pilot region. The development of digital simulations, or digital twins, starts with estimates of both normal and abnormal emissions from oil and gas operations.

The emission estimates are based on the Methane Emission Estimation Tool (MEET), developed with CAMS support to allow researchers to estimate emissions, minute by minute, from hundreds of sites. These emissions are then linked to atmospheric dispersion models, which estimate methane concentrations throughout the project region, minute by minute, at a spatial resolution of 100 m.

Value: We are filling significant emission data gaps in the value chain. Emission reduction from new fleets will be realized.

Emissions Characterization of LNG Offshore Vessels

This project will determine methane contributions of LNG offshore transport vessels while in port and at sea. There are currently no credible, independent datasets on emissions associated with offshore LNG transport. The data produced from this project can be used to compare emissions profiles of diesel-powered vintage vessels with newer, greener fleets coming on line every year – demonstrating emissions reduction within the value chain.

Value: Members will have access to continuous emission monitoring data of production sites, as well as performance results of latest stationary array monitors for only $100,000. This effort demonstrates synergy (not redundancy) with other programs.

Project Astra West Texas Methane Showdown

This project will provide members with access to continuous emissions monitoring data of production sites, as well as performance results of the latest stationary array monitors being evaluated as part of Project Astra.

The project will test the accuracy and efficacy of commercially available, high-frequency sensors in real-world operating conditions. The West Texas Methane Showdown project turns the theoretical into the tangible, providing data on real-world operating conditions.

CAMS members can leverage this information for their mitigation strategies, and the data may provide a pathway to alternative compliance options for leak detection and repair.