Resource Analysis for Deep Direct-Use Feasibility Study in East Texas

The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power plants. The area of interest is the Eastman Chemical plant in Longview, Texas, which is on the northwestern margin of the Sabine Uplift. The study is focused on determining the potential for a geothermal reservoir within a 10 km radius of the site as defined by data from existing geological studies and cross-sections within the depths of 2,100 to 3,400 meters. Wells within a 20 km radius are included for broader geological comparison to determine the heat flow, temperature-at-depth, and oil and gas field porosity and permeability. The geothermal reservoir model is based on the multiple formation top data sources, published literature data, and well log interpretations within the 10 km radius. Area thickness estimates, reservoir extent bounding parameters, potential flow rates, and temperatures are combined to calculate a reservoir productivity index and develop a reservoir production model. Historical fluid volumes production data are used as an independent check for the reservoir productivity index and production model results. The reservoir parameters calculated here are being used for the surface engineering model to determine the economic viability of using geothermal fluids for a deep direct use application at this site. The data files are submitted as separate workbooks in 'content model' format, including: Well Fluid Production, Heat Flow, and Geologic Reservoir.

美国国家可再生能源实验室（National Renewable Energy Laboratory）、南卫理公会大学地热实验室（Southern Methodist University Geothermal Laboratory）、伊士曼化工（Eastman Chemical）、涡轮空气系统公司（Turbine Air Systems）以及美国电力研究院（Electric Power Research Institute）正在评估利用地热能提升天然气发电厂效率的可行性。本次关注的研究区域为位于得克萨斯州朗维尤的伊士曼化工厂，该区域地处萨宾隆起（Sabine Uplift）西北缘。本研究依托现有地质研究数据及2100至3400米深度范围内的地质剖面，旨在确定该厂区10公里半径内地热储层的开发潜力；同时纳入20公里半径范围内的钻井数据，以开展更广泛的地质对比，分析热流、深部温度以及油气田的孔隙度与渗透率。地热储层模型基于10公里半径范围内的多重地层顶面数据源、已发表的文献数据以及测井解释结果构建，通过整合区域厚度估算值、储层展布边界参数、潜在流体流量与温度数据，计算储层产能指数并构建储层生产模型。研究采用历史流体产量数据作为独立校验手段，对储层产能指数及生产模型结果进行验证。本次计算得到的储层参数将用于地表工程模型，以评估在该厂区开展深层直接利用地温流体应用的经济可行性。本次提交的数据文件以"content model"格式的独立工作簿形式呈现，涵盖钻井流体产量、热流以及地质储层三类数据集。