Wednesday, July 24, 2019 3:19 pm

This is 2D and 3D seismic reflection data from Utah FORGE Phase 2c. The readme file containing an explanation of the data including data formats, software that can be used, processing, and projection and datum used. For all 3D and 2D data the following datasets were created and output in SEG-Y format:
- Unmigrated Time
- Prestack Time Migration (PSTM), Unenhanced (UnEnh) and Enhanced (Enh)
- Prestack Depth Migration (PSDM), Unenhanced (UnEnh) and Enhanced (Enh)
- Velocity Model used for Migration 2D and 3D seismic reflection data from Utah FORGE Phase 2c.

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Wednesday, July 24, 2019 3:19 pm

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. Steps to calculate heat flow and temperature-at-depth maps using Python code.

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Wednesday, July 24, 2019 3:19 pm

This file contains the first set of tracer data for the EGS Collab testbed. The first set of tracer tests were conducted during October-November, 2018. We have included tracer data for C-dots, chloride, fluorescein, and rhodamine-B. The details about the tracer test can be found in Background and Methods of Tracer Tests (Mattson et al. (2019)) (also included in this package).

References
Mattson, E.D., Neupane, G., Plummer, M.A., Hawkins, A., Zhang, Y. and the EGS Collab Team 2019. Preliminary Collab fracture characterization results from flow and tracer testing efforts. In Proceedings 44th Workshop on Geothermal Reservoir Engineering, edited, Stanford University, Stanford, California. This paper provides background information about the way these tracer tests were conducted.

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Wednesday, July 24, 2019 3:18 pm

This dataset includes ground water level data for Utah FORGE Phase 2c ground water monitoring wells Wow2 and Wow3. The readme file explains the fields contained in the included Excel spreadsheet and contains the coordinates for the wells. The Excel spreadsheet contains raw data is taken directly from downhole transducers and includes fields labeled Date, Time, LEVEL, and TEMPERATURE.

Contains an explanation of the data including data formats, software that can be used, processing, and projection and datum used.

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Wednesday, July 24, 2019 3:18 pm

This dataset contains groundwater geochemistry from several wells in North Milford Valley, Utah, in the region of the Utah FORGE project (Phase 2c). Readme file that discusses the data contained in the Excel spreadsheet. Data include GPS coordinates (UTM, Lat-Long), sampling temperature, pH, Li, Na, K, Ca, Mg, SiO2, B, Cl, F, SO4, HCO3, oxygen, and hydrogen isotopes. Analyses were performed at the Utah State Laboratory and the University of Minnesota. This dataset contains ground water geochemistry from several wells in north Milford Valley, Utah, in the region of the Utah FORGE project. File contains 6 water analyses of groundwaters collected from wells in the North Milford Valley, west of the Utah FORGE site in July, 2018

Media file
Wednesday, July 24, 2019 3:18 pm

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. Overview presentation with reservoir resources discussed and outcomes expected for heat and fluid potential.

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Wednesday, July 24, 2019 3:17 pm

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. SMU Fluid Flux content model with values used for project in Panola Harrison Rusk Gregg Counties Texas

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Wednesday, July 24, 2019 3:17 pm

Mineralogical and lithological data from core samples taken at various geothermal wells in the Great Basin: Dixie Valley, Beowawe, Roosevelt, Mammoth, Steamboat Springs, Coso Table detailing core logs, lithology, and associated mineralogical data per depth.

Media file
Wednesday, July 24, 2019 3:17 pm

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. Part 2 focus on:
1) Permit report and spreadsheet on Federal, State, and Local agency requirements for a geothermal deep direct-use project in the vicinity of East Texas for Harrison, Gregg, Rusk, and Panola Counties.
2) Evaluation of the Geologic Variability of Travis Peak Formation as a reservoir.
3) Updated Heat Flow Memo with additional references. The steps for calculating heat flow and understanding the different variables including temperature correction and thermal conductivity. This file has full references.

Media file
Wednesday, July 24, 2019 3:17 pm

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. Reservoir Properties content model with data collected from publications for oil and gas fields in East Texas - Longview, Texas area.

Media file
Wednesday, July 24, 2019 3:17 pm

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. The data inputs related to the reservoir models, e.g., porosity, permeability, layer thickness, BHT, pressure, etc.

Media file
Wednesday, July 24, 2019 3:16 pm

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. SMU Heat Flow data from both equilibrium wells and oil and gas well headers (BHT) and assigned thermal conductivity.

Media file
Wednesday, July 24, 2019 3:15 pm

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. New Fluid Production data - water accumulations from oil/gas wells in East Texas for the primary formations of Woodbine, Pettit, Travis Peak, Cotton Valley, etc.

Media file
Tuesday, July 2, 2019 3:55 pm

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. Part 2 focus on:
1) Permit report and spreadsheet on Federal, State, and Local agency requirements for a geothermal deep direct-use project in the vicinity of East Texas for Harrison, Gregg, Rusk, and Panola Counties.
2) Evaluation of the Geologic Variability of Travis Peak Formation as a reservoir.
3) Updated Heat Flow Memo with additional references. Results from geological model to determine how much variation there is within the Travis Peak Formation in the area of Eastman Chemical plant. The description of the methodology is in the document: Memo SMU DDU GeologicVariabilityTesting.pdf

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Tuesday, July 2, 2019 3:54 pm

Hydraulic studies of drilling micropores at various depths and with various hole sizes, tubing, fluids and rates to show theoretical feasibility.
WELLFLO Simulations Report separated into three parts:
Step 4: Drilling 10,000 ft Wells with Supercritical Steam, Nitrogen, and Carbon Dioxide
Step 5: Drilling 20,000 ft Wells with Supercritical Steam, Nitrogen, and Carbon Dioxide
Step 6: Drilling 30,000 ft Wells with Supercritical Steam, Nitrogen, and Carbon Dioxide Microhole hydraulic study report at 30,000 feet

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