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University of Illinois Campus Deep Direct-Use Feasibility Study Thermal Properties of Geologic Formations in Illinois Basin

Thermal property data for rocks and and minerals and unconsolidated (glacial) sediments units from within and outside the Illinois Basin were compiled for modeling heat transport in the subsurface.

Lin, Y. et al University of Illinois

Mar 30, 2018
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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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SMP and Fracture Modeling

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...

Salehi, S. et al University of Oklahoma

Oct 01, 2021
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Applications of Geothermally-Produced Colloidal Silica in Reservoir Management Smart Gels

In enhanced geothermal systems (EGS) the reservoir permeability is often enhanced or created using hydraulic fracturing. In hydraulic fracturing, high fluid pressures are applied to confined zones in the subsurface usually using packers to fracture the host rock. This enhances r...

Hunt, J. et al Lawrence Livermore National Laboratory

Jan 31, 2013
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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
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SMP Preparation, Programming, and Characterization

Salehi, S. et al University of Oklahoma

Oct 01, 2021
4 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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DCIF Westerly Granite AE Stress Effect Test (Task 3-1)

Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on rectangular Westerly granite blocks (width=depth=4.0", height=2.0"). Liquid nitrogen was poured in a small, 1"-diameter copper cup attached to the top of the sample, and the resulting acoustic emissions (A...

Nakagawa, S. and Trzeciak, M. Lawrence Berkeley National Laboratory

Jul 08, 2021
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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...

Buster, G. et al Upflow

Jun 30, 2021
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Self-Healing and Re-Adhering Polymer-Cements with Improved Toughness

Polymer-cement experiments were conducted in order to assess the chemical and thermal properties of various polymer-cement composites. This file set includes the following polymer-cement analyses: Polymer-Cement Composite Synthesis Polymer-Cement Interactions by Atomistic Simulat...

Fernandez, C. Pacific Northwest National Laboratory

Nov 11, 2015
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Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems

This is a final technical report for the project: Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems (EGS). The goal is to demonstrate the feasibility of foam fracturing in EGS applications. The project, led by Oak Ridge National Laboratory (ORNL), wa...

Wang, H. et al Oak Ridge National Laboratory

May 17, 2022
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