Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

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Previous moderate- and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable models are employed, expert decisions also introduce human and, thereby, model bias. This bias can present a source of error that reduces the predictive performance of the models and confidence in the resulting resource estimates.

This study aims to develop robust data-driven methods with the goals of reducing bias and improving predictive ability. This submission includes a list of papers, data releases, and presentations produced as part of this work.

Citation Formats

United States Geological Survey. (2023). Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments [data set]. Retrieved from https://gdr.openei.org/submissions/1498.
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Mordensky, Stanley P., Lipor, John J., DeAngelo, Jacob, Burns, Erick R., and Lindsey, Cary R. Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments. United States: N.p., 07 Feb, 2023. Web. https://gdr.openei.org/submissions/1498.
Mordensky, Stanley P., Lipor, John J., DeAngelo, Jacob, Burns, Erick R., & Lindsey, Cary R. Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments. United States. https://gdr.openei.org/submissions/1498
Mordensky, Stanley P., Lipor, John J., DeAngelo, Jacob, Burns, Erick R., and Lindsey, Cary R. 2023. "Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments". United States. https://gdr.openei.org/submissions/1498.
@div{oedi_1498, title = {Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments}, author = {Mordensky, Stanley P., Lipor, John J., DeAngelo, Jacob, Burns, Erick R., and Lindsey, Cary R.}, abstractNote = {Previous moderate- and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable models are employed, expert decisions also introduce human and, thereby, model bias. This bias can present a source of error that reduces the predictive performance of the models and confidence in the resulting resource estimates.

This study aims to develop robust data-driven methods with the goals of reducing bias and improving predictive ability. This submission includes a list of papers, data releases, and presentations produced as part of this work.}, doi = {}, url = {https://gdr.openei.org/submissions/1498}, journal = {}, number = , volume = , place = {United States}, year = {2023}, month = {02}}

Details

Data from Feb 7, 2023

Last updated Jul 25, 2023

Submitted May 1, 2023

Organization

United States Geological Survey

Contact

Stanley P. Mordensky

Authors

Stanley P. Mordensky

United States Geological Survey

John J. Lipor

Portland State University

Jacob DeAngelo

United States Geological Survey

Erick R. Burns

United States Geological Survey

Cary R. Lindsey

United States Geological Survey

DOE Project Details

Project Name Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

Project Lead Mike Weathers

Project Number 24996

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