EEMDL’s mission is to be a global data and analytics hub that supports improved greenhouse gas emissions accounting across energy supply chains. To this end, EEMDL has three goals:

Develop reliable, timely, transparent, and peer-reviewed models and tools to enable measurement-based greenhouse gas emissions assessments.
Publish up-to-date, high-resolution, measurement-based, and standardized datasets on methane emissions across oil and gas supply chains.
Train students, researchers, and stakeholders in industry, government, and other organizations on the use of EEMDL’s models and tools.

All models, tools, and datasets developed by EEMDL will be peer-reviewed and published in scientific journals. In addition, all materials will be made publicly accessible through this website. Web-visualization tools and regular training sessions for stakeholders will support use of models and tools.

EEMDL will publish high-resolution and timely datasets on measurement-informed methane emissions across US and global oil and gas supply chains. These datasets will integrate direct measurements from various technologies such as satellites, aerial surveys, and continuous emissions monitoring systems, site-level operational data, and other information. These datasets would updated periodically and made publicly available.

The goal of EEMDL is to provide models and tools to interpret and reconcile emissions measurements. Global efforts like OGMP 2.0 will provide the framework for methane monitoring and reporting - the tools developed by EEMDL can be used for emissions reconciliation, developing measurement-informed inventory estimates, or other applications as required by various standards and reporting systems. All models and tools developed by EEMDL will be designed to accommodate the requirements of multiple reporting standards.

The public can participate in EEMDL in several ways:

EEMDL welcomes collaborative projects with industry partners and other universities: please contact eemdl@utexas.edu to discuss opportunities.
EEMDL will strives to work with regulatory agencies in the US to improves methane emissions accounting: please reach out to our co-directors Dr. David Allen or Dr. Arvind Ravikumar to discuss opportunities.
EEMDL’s models and datasets will be publicly available. If you are interested in customized model needs or data products, please reach out to eemdl@utexas.edu with your request.
While EEMDL organizes regular training sessions, we would be happy to accommodate private training sessions for large organizations. Contact eemdl@utexas.edu for more information.

The industry consortium - formalized through a Steering Committee - provides the funding needed to develop scalable solutions to improve transparency and accuracy of greenhouse gas emissions assessment across energy supply chains. The Steering Committee, along with the Strategic and Technical Advisory Committees of EEMDL, will provide guidance and feedback to EEMDL’s leadership. All outputs of EEMDL - models, tools, and datasets - will be peer-reviewed and published in scientific journals, and made available to all on this website. Trust in these models and datasets is created through transparency - anyone will be able to independently test, evaluate, and use our models and datasets.

EEMDL is a joint research initiative of the University of Texas at Austin, Colorado State University, and the Colorado School of Mines. It will be led by Dr. Arvind Ravikumar and Dr. David Allen as co-Directors. Both are faculty at UT Austin. Daniel Zimmerle from Colorado State University and Dorit Hammerling from the Colorado School of Mines lead efforts at their institutions. In addition to the academic leadership, EEMDL will have three committees.

The Steering Committee composed of EEMDL’s financial sponsors and University leadership.
Strategic Advisory Committee composed of representatives from a broad range of stakeholders.
Technical Advisory Committee composed of technical experts with experience in emissions measurements, analytics, and inventory development.