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Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
Final Report describing data collection, evaluation, modeling and analysis. Ranking of Cascade and Aleutian volcanic centers for geothermal potential.
This report describes all of the work done in Phase I of a geothermal exploration project in the Tularosa Basin, as well as an outline for Phase II work, and more.
This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, fo...
The report details a thermal circulation test at Red Raider #2 at the Oil Field Technology Center (OTC) involving staged hot water injections and distributed temperature sensing (DTS) fiber optic measurements. It includes experimental setup, fluid flow and temperature data, therm...
Mesh, properties, initial conditions, injection/withdrawal rates for modeling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, on ...
This report outlines the approach and methodology of the utilization of thermal satellite imagery to find areas of warm ground that might indicate heat flow from a buried geothermal system. The satellite platforms, modeling equations and corrections to the data are discussed. Some...
This dataset contains maps of deformation covering Raft River, Idaho from 2007 to 2010 calculated from interferometric synthetic aperture radar data. This dataset is used in the study entitled "Inferring geothermal reservoir processes at the Raft River Geothermal Field, Idaho, US...
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Substantial unexploited opportunity exists for the US, and the world, in Enhanced Geothermal Systems (EGS). This cost analysis study provides a baseline cost for a 50 MW Geothermal Power Plant in a challenging New England environment. The study then assesses how project costs wo...
This is an electronic database detailing different types of, various phases of, best practices for, and cost and time associated with geothermal exploration techniques. The groups of exploration techniques included in the database are Data and Modeling Techniques, Downhole Techniq...
Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...
This submission contains an ASCII text file of seismic velocities derived from ambient noise cross-correlation used to create a model of seismic velocity as a 1-D function of depth in addition to a quarterly report describing the creation and use of the model. Model uses 28 Green'...
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 ...
The Mountain Home area is characterized by high heat flow and temperature gradient. Temperature data are available from 18 boreholes with depths equal to or greater than 200 m, 5 of which have depths ranging from ~1340 m to ~3390 m (MH-1, MH-2, Bostic1, Lawrence D No.1, and Anschu...
This report details all of the work done in Phase 2 of a geothermal exploration project in Tularosa Basin, New Mexico. Data acquired as part of Phase 2 includes field geology (geological reconnaissance and mapping), gravity surveys, shallow temperature surveys, well water sampling...
Included here are the mechanical, electrical, and plumbing design report and drawings for the proposed community geothermal system at an affordable housing complex in Wallingford, Connecticut. The report and drawings were developed by LN Consulting, in partnership with the Univers...
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...
This dataset contains the final technical report for the CSM project, conducted by the Colorado School of Mines and project partners to address materials and wellbore challenges in high-temperature geothermal environments. The report documents research activities carried out to de...
Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...
These reports contain information on the distributed temperature sensing (DTS), distributed strain sensing (DSS), and pressure monitoring during the stimulation of Well 16(B)78-32 at Utah FORGE, in April and May 2024. Reports include information on data collection and calibrations...
This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemica...
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Dr. Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to esti...
This paper presents a generalized form of the displacement correlation method (the GDC method), which can use any linear or quadratic finite element type with homogeneous meshing without local refinement. These two features are critical for modeling dynamic fracture propagation pr...
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