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.

本数据集旨在凸显将低温（<150摄氏度）地热资源评估融入综合供热发电（CHP）与地热直接利用（GDU）技术（如空间供暖和/或冷却）实施中的优势。针对丹佛盆地这一案例，编制了资源适宜性地图，以识别潜在适宜的地热勘探区域，并在此提供。适宜性评估基于三种类型的数据：地质数据、经济数据以及风险数据。（1）地质数据包括来自油气井的井底温度（BHT）、油气井的水合生产量、井水水位、温泉位置、温度及化学成分、断层和地震；（2）经济可行性数据包括人口、热能需求、基础设施和道路；（3）风险数据（包括排除区域的数据）包括洪水平原、保护区（如野生动物保护区、国家公园）。包含的报告详细描述了此项目，涵盖了工作流程、相关数据集、Python代码以及用于创建丹佛盆地低温地热资源适宜性地图的常用和复合地图。报告中的图表包括：原始数据集地图、转换数据和衍生参数（如地热梯度或热导率）的地图、不确定性分析结果、数据完整性结果（使用GeoRePORT工具）、数据组合和处理示例（使用geoPFA Python库，该库在附带的报告中介绍）、各标准的适宜性地图以及最终的复合适宜性地图。该项目旨在通过提供数据、工具和适用于沉积盆地低温地热资源的工作流程，促进CHP和GDU的未来部署。