Current Projects

Projects are focused on building long-term understanding and filling in gaps in the scientific body of knowledge that informs emissions reduction strategies.

Source Emission Accounting & Localization System (SEALS)

Research Team:

National Center for Atmospheric Research
Applications Laboratory, Computational and Information Systems Laboratory

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Colorado State University
Energy Institute

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Principle Investigator: Dr. Jeremy Sauer (NCAR)

Research Objective: This project will develop an open-source, artificial intelligence-based software using machine learning (ML) to better locate and quantify methane emissions at upstream and midstream oil and gas facilities using fixed point sensors. This software will use new ML models trained and tested using a broad range of simulated climatology and environmental conditions to advance the goal of more accurate and reliable methane emissions estimations in the oil and gas industry.

Top-Down Bottom-Up Methane Emission Reconciliation (TOPBOT)

Research Team:

Colorado State University
Energy Institute
Methane Emissions Technology Evaluation Center

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Pennsylvania State University
Department of Meteorological and Atmospheric Science

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Harvard University

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Principle Investigator: Stuart Riddick (CSU), Daniel Zimmerle (CSU), Dr. Kenneth Davis & Dr. Natasha Miles (PSU), Zachary Barkley (PSU)

Research Objective: This project will improve the accuracy and understanding of methane emissions estimation models in oil and gas production basins by reconciling the gap found between top-down and bottom-up estimation methods. The team will identify discrepancies between the two methods by comparing real-world emissions data to a series of modeling experiments and recommend additional data to improve methods for high quality comparison.