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Simulation Tools for Modeling Thermal Spallation Drilling on Multiple Scales

Widespread adoption of geothermal energy will require access to deeply buried resources in granitic basement rocks at high temperatures and pressures. Exploiting these resources necessitates novel methods for drilling, stimulation, and maintenance, under operating conditions that ...

Walsh, S. et al Lawrence Livermore National Laboratory

Jan 01, 2012
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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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Ground Source Heat Pump Computational Results

This data submission includes simulation results for ground loop heat pump systems located in 6 different cities across the United States. The cities are Boston, MA, Dayton, OH, Omaha, NE, Orlando, FL, Sacramento, CA, and St. Paul, MN. These results were obtained from the two-dime...

Menart, J. Wright State University

Jul 31, 2013
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Ground Source Heat Pump Computational Results

Menart, J. Wright State University

Jul 31, 2013
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SMP Preparation, Programming, and Characterization

Salehi, S. et al University of Oklahoma

Oct 01, 2021
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Fully Coupled Geomechanics and Discrete Flow Network Modeling of Hydraulic Fracturing for Geothermal Applications

The primary objective of our current research is to develop a computational test bed for evaluating borehole techniques to enhance fluid flow and heat transfer in enhanced geothermal systems (EGS). Simulating processes resulting in hydraulic fracturing and/or the remobilization of...

Fu, P. et al Lawrence Livermore National Laboratory

Jan 01, 2011
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Using Fully Coupled Hydro-Geomechanical Numerical Test Bed to Study Reservoir Stimulation with Low Hydraulic Pressure

This paper documents our effort to use a fully coupled hydro-geomechanical numerical test bed to study using low hydraulic pressure to stimulate geothermal reservoirs with existing fracture network. In this low pressure stimulation strategy, fluid pressure is lower than the minimu...

Fu, P. et al Lawrence Livermore National Laboratory

Jan 31, 2012
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Geomechanical Modeling for Thermal Spallation Drilling

Wells for Engineered Geothermal Systems (EGS) typically occur in conditions presenting significant challenges for conventional rotary and percussive drilling technologies: granitic rocks that reduce drilling speeds and cause substantial equipment wear. Thermal spallation drilling,...

Walsh, S. et al Lawrence Livermore National Laboratory

Aug 24, 2011
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Utah FORGE: Seismic Risk Trafic Light System Version 2

The report outlines the updated Traffic Light System (TLS) for the Utah FORGE project, which aims to mitigate seismic risks associated with Enhanced Geothermal Systems (EGS) operations. It integrates lessons from past operations, including stimulation and circulation experiments a...

Pankow, K. et al University of Utah Seismograph Stations

Jan 24, 2025
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Brady 1D Seismic Velocity Model Ambient Noise Prelim

Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 ...

J., R. Lawrence Livermore National Laboratory

Oct 25, 2013
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Utah FORGE: Well 16B(78)-32 Canamera Core Drilling Report

This is a summary report by Canamera Coring discussing the core drilling of Utah FORGE Well 16B(78)-32. This report includes detailed drilling graphics, images, and metrics from each coring run completed. About 240' of 4" core was taken from 4855' to 10493' in depth.

Mock, B. Canamera Coring

May 17, 2024
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...

Jin, W. et al Idaho National Laboratory

Apr 15, 2022
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...

Beckers, K. et al National Renewable Energy Laboratory

Oct 20, 2021
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West Flank Coso FORGE: Magnetotelluric Inversion

The Coso Magnetotelluric (MT) dataset of which the West Flank FORGE MT data is a subset, was collected by Schlumberger / WesternGeco and initially processed by the WesternGeco GeoSolutions Integrated EM Center of Excellence in Milan, Italy. The 2011 data was based on 99 soundings ...

Blankenship, D. Sandia National Laboratories

May 16, 2016
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University of Illinois Campus Deep Direct-Use Feasibility Study Geological Characterization of the Mt. Simon Sandstone

These studies undertook detailed analyses of the Mt. Simon Sandstone in the Illinois Basin for geological storage and sequestration, and brine extraction.

Lin, Y. et al University of Illinois

Mar 30, 2018
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COSO Fluid Inclusion Gas Analysis

Fluid inclusion gas analysis for wells in COSO geothermal area, California. Analyses used in developing fluid inclusion stratigraphy for wells and defining fluids across the geothermal fields. Each sample has mass spectrum counts for 180 chemical species.