Geothermal Play Fairway Analysis for Low-Temperature Resources in the Denver Basin
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 -
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
Keywords
geothermal, energy, PFA, Play Fairway Analysis, denver basin, sedimentary basin, colorado, geospatial, favorability, thermal, risk data, exploration, geology, geologic data, economic data, water co-production, groundwater levels, hot spring locations, geochemistry, faults, earthquakes, economic feasibility, Python, resource favoribility maps, GeoRePORT, geoPFA, workflow, low-temperatureDOE Project Details
Project Name Geothermal Heating and Cooling Geospatial Datasets and Analysis
Project Lead Jeff Winick
Project Number 39678