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

Validation of Innovative Exploration Technologies for Newberry Volcano: Lithology Reports of Temperature Gradient Wells Validation of Innovative Exploration Technologies for Newberry Volcano: Lithology Reports of Temperature Gradient Wells (TGW) 17N, 7S, 19N, 16S, and 5S

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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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Tuesday, July 2, 2019 3:54 pm

A downhole tubing bending study was made and is reported herein. It contains a report and 2 excel spreadsheets to calculate tubing bending and to estimate contact points of the tubing to the drilled hole wall (creating a new support point). Excel spreadsheet on estimating pipe bending using large deflection model

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Tuesday, July 2, 2019 3:54 pm

A downhole tubing bending study was made and is reported herein. It contains a report and 2 excel spreadsheets to calculate tubing bending and to estimate contact points of the tubing to the drilled hole wall (creating a new support point). Excel spreadsheet to estimate contact point between drill tube and hole wall

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Tuesday, July 2, 2019 3:53 pm

Technical papers detailing the development of harsh environment sensors for geothermal applications. Principle Investigator is Prof. Albert P. Pisano (University of California, Berkeley). Submission includes a paper about geothermal environmental exposure testing on encapsulant and device materials in addition to a paper pertaining to MEMS Sensors for downhole monitoring of geothermal systems. This paper reviews the limitations in current down-hole monitoring technologies for geothermal energy systems and introduces microelectromechanical systems (MEMS) sensors as a means of optimizing well performance.

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Tuesday, July 2, 2019 3:53 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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Tuesday, July 2, 2019 3:52 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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Tuesday, July 2, 2019 3:51 pm

Technical papers detailing the development of harsh environment sensors for geothermal applications. Principle Investigator is Prof. Albert P. Pisano (University of California, Berkeley). Submission includes a paper about geothermal environmental exposure testing on encapsulant and device materials in addition to a paper pertaining to MEMS Sensors for downhole monitoring of geothermal systems. Report detailing mass change and sputter XPS chemical analysis conducted on silicon, sapphire, silicon carbide (SiC), and aluminum nitride (AlN) after up to 100 hours of exposure testing in water at its critical point.

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Tuesday, July 2, 2019 3:51 pm

AASG Wells Data for the EGS Test Site Planning and Analysis Task
Temperature measurement data obtained from boreholes for the Association of American State Geologists (AASG) geothermal data project. Typically bottomhole temperatures are recorded from log headers, and this information is provided through a borehole temperature observation service for each state. Service includes header records, well logs, temperature measurements, and other information for each borehole. Information presented in Geothermal Prospector was derived from data aggregated from the borehole temperature observations for all states. For each observation, the given well location was recorded and the best available well identifier (name), temperature and depth were chosen. The "Well Name Source," "Temp. Type" and "Depth Type" attributes indicate the field used from the original service. This data was then cleaned and converted to consistent units. The accuracy of the observation's location, name, temperature or depth was note assessed beyond that originally provided by the service.

- AASG bottom hole temperature datasets were downloaded from repository.usgin.org between the dates of May 16th and May 24th, 2013.
- Datasets were cleaned to remove null and non-real entries, and data converted into consistent units across all datasets
- Methodology for selecting best temperature and depth attributes from column headers in AASG BHT Data sets:

Temperature:
CorrectedTemperature - best
MeasuredTemperature - next best
Depth:
DepthOfMeasurement - best
TrueVerticalDepth - next best
DrillerTotalDepth - last option
Well Name/Identifier:
APINo - best
WellName - next best
ObservationURI - last option

The column headers are as follows:
gid = internal unique ID
src_state = the state from which the well was downloaded (note: the low temperature wells in Idaho are coded as "ID_LowTemp", while all other wells are simply the two character state abbreviation)
source_url = the url for the source WFS service or Excel file
temp_c = "best" temperature in Celsius
temp_type = indicates whether temp_c comes from the corrected or measured temperature header column in the source document
depth_m = "best" depth in meters
depth_type = indicates whether depth_m comes from the measured, true vertical, or driller total depth header column in the source document
well_name = "best" well name or ID
name_src = indicates whether well_name came from apino, wellname, or observationuri header column in the source document
lat_wgs84 = latitude in wgs84
lon_wgs84 = longitude in wgs84
state = state in which the point is located
county = county in which the point is located AASG Wells Data for the EGS Test Site Planning and Analysis Task
Temperature measurement data obtained from boreholes for the Association of American State Geologists (AASG) geothermal data project. Typically bottomhole temperatures are recorded from log headers, and this information is provided through a borehole temperature observation service for each state. Service includes header records, well logs, temperature measurements, and other information for each borehole. Information presented in Geothermal Prospector was derived from data aggregated from the borehole temperature observations for all states. For each observation, the given well location was recorded and the best available well identified (name), temperature and depth were chosen. The “Well Name Source,” “Temp. Type” and “Depth Type” attributes indicate the field used from the original service. This data was then cleaned and converted to consistent units. The accuracy of the observation’s location, name, temperature or depth was note assessed beyond that originally provided by the service.

- AASG bottom hole temperature datasets were downloaded from repository.usgin.org between the dates of May 16th and May 24th, 2013.
- Datasets were cleaned to remove “null” and non-real entries, and data converted into consistent units across all datasets
- Methodology for selecting ”best” temperature and depth attributes from column headers in AASG BHT Data sets:

• Temperature:
• CorrectedTemperature – best
• MeasuredTemperature – next best
• Depth:
• DepthOfMeasurement – best
• TrueVerticalDepth – next best
• DrillerTotalDepth – last option
• Well Name/Identifier
• APINo – best
• WellName – next best
• ObservationURI - last option.

The column headers are as follows:

• gid = internal unique ID

• src_state = the state from which the well was downloaded (note: the low temperature wells in Idaho are coded as “ID_LowTemp”, while all other wells are simply the two character state abbreviation)

• source_url = the url for the source WFS service or Excel file

• temp_c = “best” temperature in Celsius

• temp_type = indicates whether temp_c comes from the corrected or measured temperature header column in the source document

• depth_m = “best” depth in meters

• depth_type = indicates whether depth_m comes from the measured, true vertical, or driller total depth header column in the source document

• well_name = “best” well name or ID

• name_src = indicates whether well_name came from apino, wellname, or observationuri header column in the source document

• lat_wgs84 = latitude in wgs84

• lon_wgs84 = longitude in wgs84

• state = state in which the point is located

• county = county in which the point is located

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Tuesday, July 2, 2019 3:51 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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Tuesday, July 2, 2019 3:51 pm

This zipped data set includes Schlumberger FMI logs DLIS and XML files from Utah FORGE deep well 58-32. These include runs 1 (2226-7550 ft) and 2 (7440-7550 ft). Run 3 (7390-7527ft) was acquired during phase 2c. Schlumberger FMI logs DLIS and XML files for Utah FORGE Well 58-32 runs 1 and 2.

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Tuesday, July 2, 2019 3:51 pm

A downhole tubing bending study was made and is reported herein. It contains a report and 2 excel spreadsheets to calculate tubing bending and to estimate contact points of the tubing to the drilled hole wall (creating a new support point). Report from NOV CTES on downhole pipe bending forces study

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Tuesday, July 2, 2019 3:51 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 10,000 feet

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Tuesday, July 2, 2019 3:51 pm

Preliminary monitoring and analyses for the Utah FORGE Milford Site.
Includes a report detailing the seismic monitoring goals and results, a detailed techno-economic infrastructure assessment with an analysis, a budget, schedules, and cost summaries, and a summary of environmental impacts. Detailed techno-economic infrastructure assessment; analysis, budget, schedules, and cost summaries for the Utah FORGE project. Report by Kristine Pankow, Ph.D., University of Utah Seismic Stations

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