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DTS Raw Data Guelph, Ontario Canada
Unprocessed active distributed temperature sensing (DTS) data from 3 boreholes in the Guelph, ON Canada region. Data from borehole 1 was collected during a fluid injection while data from boreholes 2 and 3 were collected under natural gradient conditions in a lined borehole.
The...
Coleman, T. University of Wisconsin
Jul 31, 2013
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
McGee Mountain Geoprobe Study, Humboldt County, Nevada
Geoprobes were developed by the environmental industry to collect water, gas and soil samples from contaminated sites at shallow depths (10-40 meters), with a minimum of environmental disturbance. A modified Geoprobe was used to collect bottom hole temperatures, and attempt to col...
Tullar, K. Geothermal Technical Partners, Inc.
Jun 19, 2010
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
McGee Mountain Geoprobe Survey, Humboldt County, Nevada
This shapefile contains location and attribute data for a Geoprobe temperature survey conducted by Geothermal Technical Partners, Inc. during 2010. The purpose of direct push technology (DPT) probe activity at the McGee Mtn. Project, Nevada was to 1) determine bottom hole temperat...
Zehner, R. Geothermal Technical Partners, Inc.
Jun 01, 2010
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Utah FORGE: Great Basin Groundwater Geochemical Database
A database of groundwater chemistry in the Great Basin, USA. The data is located at the Nevada Bureau of Mines and Geology. This contains data relevant to the Utah FORGE site.
Moore, J. Energy and Geoscience Institute at the University of Utah
Jan 01, 2005
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utah FORGE: Well and Spring Chemistry
This is a database containing water chemistry of wells and springs in Utah. The data is located at the Utah Geological Survey. This contains data relevant to the Utah FORGE project.
Moore, J. Energy and Geoscience Institute at the University of Utah
Jan 01, 2002
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1
This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...
Kratt, C. et al Oregon State University
Jan 09, 2019
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Hawaii Play Fairway Analysis: Groundwater Chemistry
Groundwater geochemistry data collected for the phase 2 of the Hawaii Play Fairway Analyses. These data are included in a Lautze et al. paper to Geothermics (in review).
Lautze, N. University of Hawaii
Mar 20, 2017
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
SOLTHERM Thermodynamic Database for Geochemical Modeling
This data submission is a link to a thermodynamic database maintained by the University of Oregon. The data at this link are not 'data results' from sampling. The data at this link comprise a thermodynamic database for aqueous species, minerals, and gases, including data for stoic...
Palandri, J. University of Oregon
Oct 07, 2015
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
EGS Collab Experiment 2: Distributed Fiber Optic Acoustic Data (DAS)
Distributed fiber optic sensing was an important part of the monitoring system for EGS Collab Experiment #2. A single loop of custom fiber package was grouted into the four monitoring boreholes that bracketed the experiment volume. This fiber package contained two multi-mode fiber...
Rodriguez Tribaldos, V. Lawrence Berkeley National Laboratory
May 28, 2024
2 Resources
0 Stars
In progress
2 Resources
0 Stars
In progress
Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Mustafa, A. et al Battelle Memorial Institute
Sep 28, 2023
3 Resources
0 Stars
Curated
3 Resources
0 Stars
Curated
EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test
This submission presents the weekly geochemistry data of the long-term flow test performed within EGS Collab Experiment 1 from early 2019 to early 2020. The fluids from each producing borehole/interval (PI, PB, PDT and PST) along with the injectate were sampled roughly weekly from...
Zhang, Y. et al Stanford University
Jan 01, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Hawaii Play Fairway Analysis: Lanai Resistivity and Density 3D Inversion Models
To prepare for its third phase, the Hawaii Play Fairway project conducted groundwater sampling and analyses in ten locations in the Hawaiian islands, magnetotelluric (MT) and gravity surveys, as well as calculations of 3D subsurface stress due to the weight of the rock underlying ...
Lautze, N. et al University of Hawaii
Jun 01, 2020
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...
Lu, G. et al University of Pittsburgh
Aug 30, 2024
2 Resources
0 Stars
Curated
2 Resources
0 Stars
Curated
Exploration for Blind Geothermal Resources in the State of Hawaii Utilizing Dissolved Noble Gasses in Well Waters
This study is an extension of the Hawaii Play Fairway Analysis (PFA), a statewide geothermal exploration project funded by the United States Department of Energy. Based on results from prior phases of the PFA, this project targeted 66 wells on the islands of Hawaii, Maui, Lanai, O...
Ferguson, C. University of Hawaii
Nov 01, 2020
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
EGS Collab Experiment 2: Microseismic Monitoring
This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Da...
Hopp, C. Lawrence Berkeley National Laboratory
May 28, 2024
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
Utah FORGE: Neubrex Well 16B(78)-32 DAS Data April 2024
This dataset comprises Distributed Acoustic Sensing (DAS) data collected from the Utah FORGE monitoring well 16B(78)-32 (the producer well) during hydraulic fracture stimulation operations conducted in April 2024. The data were acquired continuously over the stimulation period at ...
Jurick, D. et al Neubrex Energy Services (US), LLC
Oct 01, 2024
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
Distributed Acoustic Sensing Experiment Data from Garner Valley, California
In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes all DAS data recorded during the experiment.
The sampling rate ...
Lancelle, C. University of Wisconsin
Sep 11, 2013
14 Resources
0 Stars
Publicly accessible
14 Resources
0 Stars
Publicly accessible
EGS Collab Experiment 1: Microseismic Monitoring
The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...
Schoenball, M. et al Lawrence Berkeley National Laboratory
Jul 29, 2019
46 Resources
0 Stars
Curated
46 Resources
0 Stars
Curated