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Tularosa Basin Play Fairway Analysis: Temperature, Geochemistry, and Gravity Data

This submission contains multiple excel spreadsheets and associated written reports. The datasets area are representative of shallow temperature, geochemistry, and other well logging observations made across WSMR (white sands missile range); located to the west of the Tularosa Bas...
Nash, G. Energy and Geoscience Institute at the University of Utah
Jun 16, 2017
9 Resources
0 Stars
Publicly accessible

MT Survey on the Glass Buttes Geothermal Exploration Project in Lake County, Oregon

Zonge Geosciences, Inc. performed a magnetotelluric (MT) survey for the Glass Buttes Project at the request of Ormat Technologies Inc. during the period of 7 October 2010 to 8 November 2010. This report provides the deep electromagnetic data and methods that were used to assist O...
Akerley, J. Ormat Nevada Inc
Nov 08, 2010
1 Resources
0 Stars
Publicly accessible

Tularosa Basin Play Fairway Analysis Data and Models

This submission includes raster datasets for each layer of evidence used for weights of evidence analysis as well as the deterministic play fairway analysis (PFA). Data representative of heat, permeability and groundwater comprises some of the raster datasets. Additionally, the fi...
Nash, G. Energy and Geoscience Institute at the University of Utah
Jul 11, 2017
8 Resources
0 Stars
Publicly accessible

Geothermal Case Studies on OpenEI

This submission contains links to Geothermal Areas on OpenEI that were completed as part of an effort to gather clean, unbiased information on which to build geothermal drilling prospects. The specific areas that were part of this focused effort, or *case studies*, are linked ind...
Young, K. National Renewable Energy Laboratory
Sep 30, 2014
19 Resources
0 Stars
Publicly accessible

Calculation Tool for Transported Geothermal Energy Using Two-Step Absorption Process

This spreadsheet allows the user to calculate parameters relevant to techno-economic performance of a two-step absorption process to transport low temperature geothermal heat some distance (1-20 miles) for use in building air conditioning. The parameters included are (1) energy de...
Liu, X. et al Oak Ridge National Laboratory
Feb 01, 2016
2 Resources
0 Stars
Publicly accessible

INGENIOUS Thermal Conductivity Measurement Source Categorization

Thermal conductivity (TC) data taken for different wells at a specified drill depth. This is an abridged version of the complete SMU heat flow database, downloaded from the SMU node of the NGDS at the beginning of INGENIOUS (approximately April 2021), and filtered to the INGENIOUS...
Batir, J. and Gentry, E. University of Nevada, Reno
Jun 01, 2021
1 Resources
0 Stars
Publicly accessible

Geothermal Exploration Cost and Time Metric

The National Renewable Energy Laboratory (NREL) was tasked with developing a metric in 2012 to measure the impacts of RD&D funding on the cost and time required for geothermal exploration activities. The development of this cost and time metric included collecting cost and time da...
Jenne, S. et al National Renewable Energy Laboratory
Jan 01, 2013
1 Resources
0 Stars
Publicly accessible

Cranfield Thermosiphon Test DTS Data

Thermal profile data acquired using Silixa Ultima Distributed Temperature Sensor (DTS) at Cranfield, MS field test
Freifeld, B. Lawrence Berkeley National Laboratory
Jan 19, 2015
1 Resources
0 Stars
Publicly accessible

Project HOTSPOT: Mountain Home Well Borehole Geophysics Database

The Snake River Plain (SRP), Idaho, hosts potential geothermal resources due to elevated groundwater temperatures associated with the thermal anomaly Yellowstone-Snake River hotspot. Project HOTSPOT has coordinated international institutions and organizations to understand subsurf...
Shervais, J. Utah State University
Nov 11, 2012
33 Resources
0 Stars
Publicly accessible

Microhole drilling technology utilizing a golden section search algorithm

A fundamental issue in microhole drilling is that delivering high weight-on-bit (WOB), high torque rotational horsepower to a conventional drill bit does not scale down to the hole sizes necessary to realize the envisioned cost savings An optimization algorithm called a golden sec...
Su, J. et al Sandia National Laboratories
Jun 23, 2021
7 Resources
0 Stars
Publicly accessible

Tularosa Basin Play Fairway Analysis: Pleistocene Lake Otero

This submission includes a geotiff of the geographic extent of Pleistocene Lake Otero; which was used as apart of the groundwater composite risk segment in a Tularosa Basin Play Fairway Analysis.
Brandt, A. University of Utah
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible

Hawaii Play Fairway Analysis: Noble Gas Raw Data for Hawaii, Maui, Oahu, Kauai, and Lanai islands

Noble gas raw data for the Hawaiian islands of Big Island, Maui, Oahu, Lanai, and Kauai. Based on results from prior phases of the Hawaii Play Fairway Analysis, this project targeted 66 wells on the islands of Hawaii, Maui, Lanai, Oahu, and Kauai for sampling of dissolved noble ga...
Ferguson, C. and Lautze, N. University of Hawaii
Oct 06, 2020
1 Resources
0 Stars
Publicly accessible

Conducting a 3D Converted Shear Wave Project to Reduce Exploration Risk at Wister, CA

2010 Peer Review of the 'Conducting a 3D Converted Shear Wave' Project to reduce exploration risk at Wister, CA. The presentation includes a timeline, budget, barriers, and partners. The objective of the project is also explained in the presentation.
Matlick, S. Ormat Nevada Inc
May 18, 2010
2 Resources
0 Stars
Publicly accessible

DEEPEN Data Catalog for Magmatic Geothermal Systems in the United States

This data catalog contains information related to the Training Site Analysis for the Geothermica project "DE-risking Exploration of geothermal Plays in magmatic ENvironments (DEEPEN)." The DEEPEN project aims to reduce exploration risk for geothermal fluids in magmatic systems by ...
Kolker, A. et al National Renewable Energy Laboratory
Sep 30, 2021
1 Resources
0 Stars
Publicly accessible

Pressure Data from Cranfield CO2 Thermosiphon Test

Pressure data acquired in well F2 and F3 during the CO2 geothermal thermosiphoning test, Cranfield MS.
Freifeld, B. Lawrence Berkeley National Laboratory
Jan 21, 2015
2 Resources
0 Stars
Publicly accessible

Pressure Data from Cranfield CO2 Thermosiphon Test

Pressure data recorded using PANEX pressure gauges at the bottom of wells CFU31-F2 and CFU31-F3.
Freifeld, B. Lawrence Berkeley National Laboratory
Jan 21, 2015
2 Resources
0 Stars
Publicly accessible

Utah FORGE: Discrete Fracture Network and Fracture Propagation Modelling

Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency at the Utah Forge Site
Sharma, M. and Cao, M. University of Texas
Feb 07, 2023
1 Resources
0 Stars
Publicly accessible

DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
4 Resources
0 Stars
Publicly accessible

Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report

The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Iovenitti, J. AltaRock Energy Inc
May 15, 2013
2 Resources
0 Stars
Publicly accessible

Characterizing favourable structural settings of geothermal reservoirs in extensional regions: Enhanced exploration strategies

Exploration of geothermal systems is commonly hampered by the risk of unsuccessful drilling. A major problem in selecting well sites is that the favorable settings of known systems are generally not adequately characterized. This is particularly important in amagmatic regions, wh...
Faulds, J. et al University of Nevada
Nov 30, 2010
1 Resources
0 Stars
Publicly accessible

Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
Publicly accessible

Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada

In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...
Levine, A. et al National Renewable Energy Laboratory
Mar 10, 2022
19 Resources
0 Stars
Publicly accessible

Exploring for Geothermal Resources in a Dormant Volcanic System: The Haleakala Southwest Rift Zone, Maui, Hawai'i

Suites of new geophysical and geochemical surveys provide evidence for geothermal resource at the Haleakala Southwest Rift Zone (HSWRZ) on Maui Island, Hawai'i. This poster outlines the Site's background, the geophysical surveys conducted on the Site (LiDAR, gravity and magnetics)...
Martini, B. et al Ormat Nevada Inc
Dec 01, 2011
1 Resources
0 Stars
Publicly accessible

DEEPEN 3D PFA Index Models for Exploration Datasets at Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), index models needed to be de...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
6 Resources
0 Stars
Publicly accessible

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
0 Stars
Publicly accessible
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