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Stanford Thermal Earth Model for the Conterminous United States

Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....

Aljubran, M. and Horne, R. Stanford University

Mar 14, 2024
9 Resources
1 Stars
Curated

Programs and Code for Geothermal Exploration Artificial Intelligence

The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...

Moraga, J. Colorado School of Mines

Apr 27, 2021
11 Resources
0 Stars
Publicly accessible

New Mexico Play Fairway Analysis: New Mexico Available Wells for Geochemical Sampling

This is a map package that is used to show the wells in New Mexico that may be available for geochemical sampling.

Pepin, J. New Mexico Institute of Mining and Technology

Nov 15, 2015
1 Resources
0 Stars
Publicly accessible

New Mexico Play Fairway Analysis: Particle Tracking ArcGIS Map Packages

These are map packages used to visualize geochemical particle-tracking analysis results in ArcGIS. It includes individual map packages for several regions of New Mexico including: Acoma, Rincon, Gila, Las Cruces, Socorro and Truth or Consequences.

Pepin, J. New Mexico Institute of Mining and Technology

Nov 15, 2015
6 Resources
0 Stars
Publicly accessible

OM300 Direction Drilling Module

OM300 Geothermal Direction Drilling Navigation Tool A prototype directional drilling navigation tool capable of high temperature operation in geothermal drilling with: Accuracies of 0.1 degree Inclination and Tool Face, 0.5 degree Azimuth Environmental Ruggedness typical of existi...

MacGugan, D. Honeywell International, Inc.

Aug 22, 2013
3 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

McGee Mountain Shallow (2m) Temperature Survey, Humboldt County, Nevada 2009

This shapefile contains location and attribute data for a shallow (2 meter) temperature survey conducted by Geothermal Technical Partners, Inc. during late 2008 and early 2009. Temperatures at 2m depth were measured at 192 separate points as outlined by Coolbaugh et al., 2007. The...

Zehner, R. Geothermal Technical Partners, Inc.

Jan 01, 2009
2 Resources
0 Stars
Publicly accessible

Washington State Play Fairway Analysis Passive Monitoring of St. Helens Shear Zone for Tomography and Precision Microseismic Event Detection

Data resources were derived from a passive seismic survey of the northern St. Helens Shear Zone on geothermal leases 12-24 km north of Mount St. Helens for phase 2 of the Geothermal Play-Fairway Analysis of Washington State Prospects. A 20 seismic station array of broadband seismo...

Swyer, M. et al AltaRock Energy Inc

Oct 03, 2017
7 Resources
0 Stars
Publicly accessible

New Mexico Geothermal Play Fairway Analysis from LANL

This submission contains geospatial (GIS) data on water table gradient and depth, subcrop gravity and magnetic, propsectivity, heat flow, physiographic, boron and BHT for the Southwest New Mexico Geothermal Play Fairway Analysis by LANL Earth & Environmental Sciences. GIS data is...

Kelley, R. Los Alamos National Laboratory

Oct 27, 2015
20 Resources
0 Stars
Publicly accessible

Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: brady_som_output.gri, brady_som_output.grd, brady_som_output.* desert_som_output.gri, desert_som_output.grd, desert_som_outpu...

Moraga, J. et al Colorado School of Mines

Sep 01, 2020
16 Resources
0 Stars
Publicly accessible