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 3:51 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

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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Tuesday, July 2, 2019 3:50 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. A PDF format report by Kristine Pankow, Ph.D., University of Utah Seismic Stations, detailing the seismic monitoring goals and results for Utah FORGE Phase 2A.

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Tuesday, July 2, 2019 3:50 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. Zipped dataset consisting of Schlumberger logs and derived graphics for well 58-32 (MU-ESW1) including Dipole Shear Sonic Imaging, FullBore Micro Imager, Array Induction, Porosity, Triple Combo, Caliper Cement Volume, Cement Evaluation Gamma Ray, Cement Bond, and VDL Wide logs. It also contains fracture dip data, histograms, and stereonets; and core log shift graphics and data.

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Friday, June 14, 2019 10:40 am

The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scale of 10-20 m, which is readily amenable to detailed characterization and monitoring. One objective of the project is to establish circulation from injector to producer by hydraulically fracturing the injector.

Data generated during these experiments is to be compared with predictions from coupled thermal, hydrological, mechanical, and chemical simulators. One such a simulator, TOUGH2-CSM, has been enhanced in order to simulate EGS Collab SIGMA-V project experiments. These modifications include adding tracers, the capability to model tracer sorption, and an embedded fracture formulation.

A set of example problems validate our conservative tracer transport and sorption formulations. We then simulated tracer transport and thermal breakthrough for the first EGS Collab SIGMA-V experiment.

This dataset includes the TOUGH2-CSM input and output files associated with the thermal and tracer simulations. A conference paper is included for additional context. 2019 Stanford Geothermal Workshop paper titled "Code Modifications for Modeling Chemical Tracers and Embedded Natural Fractures at EGS Collab." Includes background information of the EGS Collab project, info on TOUGH2-CSM formulation, details about the finite difference approximation to coupled fluid and heat flow, modeling dynamic adsorption in TOUGH2-CSM, modeling discrete fracture in TOUGH2-CSM, example simulations, and conclusions.

Media file
Friday, June 14, 2019 10:40 am

The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scale of 10-20 m, which is readily amenable to detailed characterization and monitoring. One objective of the project is to establish circulation from injector to producer by hydraulically fracturing the injector.

Data generated during these experiments is to be compared with predictions from coupled thermal, hydrological, mechanical, and chemical simulators. One such a simulator, TOUGH2-CSM, has been enhanced in order to simulate EGS Collab SIGMA-V project experiments. These modifications include adding tracers, the capability to model tracer sorption, and an embedded fracture formulation.

A set of example problems validate our conservative tracer transport and sorption formulations. We then simulated tracer transport and thermal breakthrough for the first EGS Collab SIGMA-V experiment.

This dataset includes the TOUGH2-CSM input and output files associated with the thermal and tracer simulations. A conference paper is included for additional context. Input and output files associated with tracer transport simulation for the first EGS Collab SIGMA-V experiment. See Section 6.3 of Winterfield SGW paper for additional information.

Media file
Friday, June 14, 2019 10:40 am

The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scale of 10-20 m, which is readily amenable to detailed characterization and monitoring. One objective of the project is to establish circulation from injector to producer by hydraulically fracturing the injector.

Data generated during these experiments is to be compared with predictions from coupled thermal, hydrological, mechanical, and chemical simulators. One such a simulator, TOUGH2-CSM, has been enhanced in order to simulate EGS Collab SIGMA-V project experiments. These modifications include adding tracers, the capability to model tracer sorption, and an embedded fracture formulation.

A set of example problems validate our conservative tracer transport and sorption formulations. We then simulated tracer transport and thermal breakthrough for the first EGS Collab SIGMA-V experiment.

This dataset includes the TOUGH2-CSM input and output files associated with the thermal and tracer simulations. A conference paper is included for additional context. Readme file describing input and output file naming conventions for TOUGH2-CSM simulations.

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