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EGS Collab Experiment 1: Second Set Tracer Test Results
The EGS Collab project is developing ~10-20 m-scale field sites where fracture stimulation and flow models can be validated against controlled, small-scale, in-situ experiments. The first multi-well experimental site was established at the 4850 level in the Homestake Mine in Lead,...
Neupane, G. et al Idaho National Laboratory
Dec 19, 2019
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4 Resources
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EGS Collab Experiment 2: Results of Tracer Tests
Multiple sets of tracer tests were conducted at the EGS Collab Testbed 2 on the 4100 L at the Sanford Underground Research Facility (SURF), Lead, SD. The enclosed data package includes: tracer recovery results, water balance calculations and rationales, water flow measurement for ...
Neupane, G. et al Idaho National Laboratory
Jul 26, 2022
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5 Resources
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EGS Collab Experiment 2: Shear Stimulation ERT Monitoring Data
This repository contains the electrical resistivity tomography (ERT) monitoring data that was collected before, during, and after shear stimulation attempts were conducted at EGS Collab. These tests were carried out on the SURF 4100 level during Experiment 2 in March, 2022. Flow a...
Johnson, T. Pacific Northwest National Laboratory
Mar 06, 2023
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4 Resources
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EGS Collab Experiment 1: 4850L Downhole Camera Surveys During Injection
This package includes data and footage from two rounds of downhole camera surveys performed at the Sanford Underground Research Facility (SURF) on the 4850 level. The exercise was performed once on 25 May 2018 and once on 21 December 2018. On May 25th, the first round was done dur...
Schwering, P. et al Sandia National Laboratories
May 25, 2018
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9 Resources
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EGS Collab Experiment 1: Circulation Testing
These data and test descriptions comprise a chilled circulation test conducted at the 164' fracture in the EGS Collab Experiment 1 testbed on the 4850 ft level of the Sanford Underground Research Facility. Descriptions of the meta data, design drawings for the flow testing system,...
Knox, H. et al Lawrence Berkeley National Laboratory
Apr 01, 2019
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11 Resources
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Hybrid machine learning model to predict 3D in-situ permeability evolution
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Elsworth, D. and Marone, C. Pennsylvania State University
Nov 22, 2022
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4 Resources
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