Geothermal Play Fairway Analysis for Low-Temperature Resources in the Denver Basin

Publicly accessible License 

This dataset is part of an effort to highlight the advantages of incorporating low-temperature (< 150 C) geothermal resource evaluation into the implementation of combined heat and power (CHP), and geothermal direct use (GDU) technologies (e.g., space heating and/or cooling). For this Denver Basin example, resource favorability maps were created to identify potentially favorable areas for further geothermal exploration and are provided here. Favorability was based on three types of data: (1) geologic, (2) economic, and (3) risk. This raw data is also provided below. Geologic data include bottom-hole temperatures (BHT) from oil and gas wells, water co-production volumes from oil and gas wells, well groundwater levels, hot spring locations, temperatures, and chemistries, faults, and earthquakes. Economic feasibility data include population, thermal energy demand, infrastructure, and roads. Risk data (which includes data on excluded areas) include flood plains, protected lands (e.g. wildlife conservation areas, national parks).

The included report describes this project in detail, covering workflows, relevant datasets, Python code, and both common and composite maps used to create low-temperature geothermal resource favorability maps for the Denver Basin, which extends across Colorado, Nebraska, and Wyoming. The figures in this report include: maps of the original datasets; maps of transformed data and derived parameters (such as the geothermal gradient or thermal conductivity); results of uncertainty analyses; results of data completeness (using the GeoRePORT tool); examples of the data combination and processing (using the geoPFA Python library, which is introduced in the attached report); favorability maps for each criteria; and a final combined favorability map. This project is designed to facilitate future deployment of CHP and GDU by providing data, tools, and a workflow applicable to low-temperature geothermal resources in sedimentary basins.

Citation Formats

TY - DATA AB - This dataset is part of an effort to highlight the advantages of incorporating low-temperature (< 150 C) geothermal resource evaluation into the implementation of combined heat and power (CHP), and geothermal direct use (GDU) technologies (e.g., space heating and/or cooling). For this Denver Basin example, resource favorability maps were created to identify potentially favorable areas for further geothermal exploration and are provided here. Favorability was based on three types of data: (1) geologic, (2) economic, and (3) risk. This raw data is also provided below. Geologic data include bottom-hole temperatures (BHT) from oil and gas wells, water co-production volumes from oil and gas wells, well groundwater levels, hot spring locations, temperatures, and chemistries, faults, and earthquakes. Economic feasibility data include population, thermal energy demand, infrastructure, and roads. Risk data (which includes data on excluded areas) include flood plains, protected lands (e.g. wildlife conservation areas, national parks). The included report describes this project in detail, covering workflows, relevant datasets, Python code, and both common and composite maps used to create low-temperature geothermal resource favorability maps for the Denver Basin, which extends across Colorado, Nebraska, and Wyoming. The figures in this report include: maps of the original datasets; maps of transformed data and derived parameters (such as the geothermal gradient or thermal conductivity); results of uncertainty analyses; results of data completeness (using the GeoRePORT tool); examples of the data combination and processing (using the geoPFA Python library, which is introduced in the attached report); favorability maps for each criteria; and a final combined favorability map. This project is designed to facilitate future deployment of CHP and GDU by providing data, tools, and a workflow applicable to low-temperature geothermal resources in sedimentary basins. AU - Davalos-Elizondo, Estefanny A2 - Taverna, Nicole A3 - Gold, Abra A4 - Menon, Karthik A5 - Trainor-Guitton, Whitney DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/2448432 KW - geothermal KW - energy KW - PFA KW - Play Fairway Analysis KW - denver basin KW - sedimentary basin KW - colorado KW - geospatial KW - favorability KW - thermal KW - risk data KW - exploration KW - geology KW - geologic data KW - economic data KW - water co-production KW - groundwater levels KW - hot spring locations KW - geochemistry KW - faults KW - earthquakes KW - economic feasibility KW - Python KW - resource favoribility maps KW - GeoRePORT KW - geoPFA KW - workflow KW - low-temperature LA - English DA - 2023/09/30 PY - 2023 PB - National Renewable Energy Laboratory T1 - Geothermal Play Fairway Analysis for Low-Temperature Resources in the Denver Basin UR - https://doi.org/10.15121/2448432 ER -
Export Citation to RIS
Davalos-Elizondo, Estefanny, et al. Geothermal Play Fairway Analysis for Low-Temperature Resources in the Denver Basin. National Renewable Energy Laboratory, 30 September, 2023, Geothermal Data Repository. https://doi.org/10.15121/2448432.
Davalos-Elizondo, E., Taverna, N., Gold, A., Menon, K., & Trainor-Guitton, W. (2023). Geothermal Play Fairway Analysis for Low-Temperature Resources in the Denver Basin. [Data set]. Geothermal Data Repository. National Renewable Energy Laboratory. https://doi.org/10.15121/2448432
Davalos-Elizondo, Estefanny, Nicole Taverna, Abra Gold, Karthik Menon, and Whitney Trainor-Guitton. Geothermal Play Fairway Analysis for Low-Temperature Resources in the Denver Basin. National Renewable Energy Laboratory, September, 30, 2023. Distributed by Geothermal Data Repository. https://doi.org/10.15121/2448432
@misc{GDR_Dataset_1671, title = {Geothermal Play Fairway Analysis for Low-Temperature Resources in the Denver Basin}, author = {Davalos-Elizondo, Estefanny and Taverna, Nicole and Gold, Abra and Menon, Karthik and Trainor-Guitton, Whitney}, abstractNote = {This dataset is part of an effort to highlight the advantages of incorporating low-temperature (< 150 C) geothermal resource evaluation into the implementation of combined heat and power (CHP), and geothermal direct use (GDU) technologies (e.g., space heating and/or cooling). For this Denver Basin example, resource favorability maps were created to identify potentially favorable areas for further geothermal exploration and are provided here. Favorability was based on three types of data: (1) geologic, (2) economic, and (3) risk. This raw data is also provided below. Geologic data include bottom-hole temperatures (BHT) from oil and gas wells, water co-production volumes from oil and gas wells, well groundwater levels, hot spring locations, temperatures, and chemistries, faults, and earthquakes. Economic feasibility data include population, thermal energy demand, infrastructure, and roads. Risk data (which includes data on excluded areas) include flood plains, protected lands (e.g. wildlife conservation areas, national parks).

The included report describes this project in detail, covering workflows, relevant datasets, Python code, and both common and composite maps used to create low-temperature geothermal resource favorability maps for the Denver Basin, which extends across Colorado, Nebraska, and Wyoming. The figures in this report include: maps of the original datasets; maps of transformed data and derived parameters (such as the geothermal gradient or thermal conductivity); results of uncertainty analyses; results of data completeness (using the GeoRePORT tool); examples of the data combination and processing (using the geoPFA Python library, which is introduced in the attached report); favorability maps for each criteria; and a final combined favorability map. This project is designed to facilitate future deployment of CHP and GDU by providing data, tools, and a workflow applicable to low-temperature geothermal resources in sedimentary basins. }, url = {https://gdr.openei.org/submissions/1671}, year = {2023}, howpublished = {Geothermal Data Repository, National Renewable Energy Laboratory, https://doi.org/10.15121/2448432}, note = {Accessed: 2025-04-24}, doi = {10.15121/2448432} }
https://dx.doi.org/10.15121/2448432

Details

Data from Sep 30, 2023

Last updated Oct 1, 2024

Submitted Sep 27, 2024

Organization

National Renewable Energy Laboratory

Contact

Estefanny Davalos-Elizondo

Authors

Estefanny Davalos-Elizondo

National Renewable Energy Laboratory

Nicole Taverna

National Renewable Energy Laboratory

Abra Gold

National Renewable Energy Laboratory

Karthik Menon

National Renewable Energy Laboratory

Whitney Trainor-Guitton

National Renewable Energy Laboratory

DOE Project Details

Project Name Geothermal Heating and Cooling Geospatial Datasets and Analysis

Project Lead Jeff Winick

Project Number 39678

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