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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
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Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests: Hydraulic Data

Hydraulic responses from periodic hydraulic tests conducted at the Mirror Lake Fractured Rock Research Site, during the summer of 2015. These hydraulic responses were measured also using distributed acoustic sensing (DAS) which is cataloged in a different submission under this gr...

Cole, M. California State University

Jul 31, 2015
6 Resources
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Snake River Plain FORGE: Site Characterization Data

The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...

Moos, D. and Barton, C. Idaho National Laboratory

Apr 18, 2016
49 Resources
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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
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COMSOL Models and Simulation Results for Closed-Loop Geothermal Systems with Thermal Enhancements

The Closed-Loop Geothermal Working Group and the National Renewable Energy Laboratory (NREL) have studied the performance of disc-shaped and linear thermal enhancements (conductive material introduced around a wellbore) in closed-loop geothermal systems. COMSOL models were develop...

Beckers, K. et al National Renewable Energy Laboratory

Dec 15, 2023
4 Resources
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Testing LCM on a Large Scale for Geothermal Drilling Applications Using a Novel Experimental Setup

Rheology data obtained from flow loop tests, performed using different lost circulation materials (LCM) to study their effect on fluid rheology and wellbore hydraulics. The sealing performance of different LCM was tested using different fracture sizes. Five academic papers / repor...

Mohamed, A. et al University of Oklahoma

Apr 22, 2022
10 Resources
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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
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Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022 supporting data

Data provided are numeric results used to plot the maps/figures presented in the paper “Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022” ([DOI: 10.1002/bbb.1620](http://onlinelibrary.wiley.com/doi/10.1002/bbb.1620/full)). ...

Zhang, Y. National Renewable Energy Laboratory

Oct 05, 2015
13 Resources
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In curation

High-Pressure and High-Temperature (HPHT) Lost Circulation Material (LCM) Testing

High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.

Salehi, S. and Vivas, C. University of Oklahoma

Nov 30, 2021
6 Resources
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Utah FORGE: Seismic Activity from April, 2019

This dataset contains seismic event detections acquired using the 151 Nodal geophones deployed at the Utah FORGE site in April 2019. Details regarding the publishing are available in the paper linked below (Mesimeri, M. and K. L. Pankow et al. 2020). A frequency-domain-based algor...

Pankow, K. University of Utah Seismograph Stations

May 01, 2019
2 Resources
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Development of 3D Geological Model of Tuscarora Sandstone for Feasibility of Deep Direct-Use Geothermal at West Virginia University Main Campus

The subsurface uncertainty at West Virginia University Main Campus is dominated by the uncertainty in the projections of geofluid flowrate in the target formation, the Tuscarora Sandstone. In this paper, three cores from the heterogeneous reservoir, available through West Virginia...

Moore, J. et al West Virginia University

Oct 23, 2018
5 Resources
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GeoVision Barriers Taskforce

This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...

Young, K. and Levine, A. National Renewable Energy Laboratory

Sep 30, 2015
5 Resources
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EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...

Chai, C. et al Oak Ridge National Laboratory

Apr 20, 2020
7 Resources
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Most Likely Extreme Response Analysis of an Ellipsoid Float Wave Energy Converter

Input data and heave results (unsteady RANS-VOF overset simulations performed in Star-CCM+) for a float with an ellipsoid geometry. Five extreme sea states were considered, as detailed in the conference paper "Application of the Most Likely Extreme Response Method for Wave Energy ...

Quon, E. National Renewable Energy Laboratory

Jun 17, 2016
7 Resources
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U.S. Heat Demand by Sector for Potential Application of Direct Use Geothermal

This dataset includes heat demand for potential application of direct use geothermal broken down into 4 sectors: agricultural, commercial, manufacturing and residential. The data for each sector are organized by county, were disaggregated specifically to assess the market demand ...

McCabe, K. et al National Renewable Energy Laboratory

Jun 23, 2016
5 Resources
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Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.

Jordan, T. et al Cornell University

Oct 27, 2019
27 Resources
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Feasibility of a Deep Direct-Use Geothermal System at the University of Illinois Urbana-Champaign

Paper authored by Stumpf et al. for the 2018 Geothermal Resources Council Annual Meeting held in Reno, NV USA. Included with the paper is the Microsoft PowerPoint presentation made at the GRC meeting and data tables associated with some of the figures.

Stumpf, A. et al University of Illinois

Dec 31, 2018
6 Resources
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EGS Collab: 3D Geophysical Model Around the Sanford Underground Research Facility

This package contains data associated with a proceedings paper (linked below) submitted to the 44th Workshop on Geothermal Reservoir Engineering. The Geophysical Model text file contains density, P and S-wave seismic speeds on a 3D grid. The file has six columns and provides latit...

Chai, C. et al Lawrence Berkeley National Laboratory

Feb 06, 2019
3 Resources
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Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production

This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in the United States. The dataset includes information regarding energy generation, PM2.5, clearness index, temperature, wind speed, precipitation, and site size.

Gilletly, S. et al Sandia National Laboratories

May 15, 2023
3 Resources
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EGS Collab Experiment 1: Common Discrete Fracture Network

This package includes data and models that support hydraulic fracture stimulation and fluid circulation experiments in the Sanford Underground Research Facility (SURF). A paper by Schwering et al. (2020) describes the deterministic basis for developing a "common" discrete fracture...

Schwering, P. et al Sandia National Laboratories

Sep 18, 2019
4 Resources
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Geothermal Permitting and NEPA Timeline Analysis

In this analysis, we outline the types of NEPA-related analyses and approvals (e.g., environmental assessment), and we provide examples of geothermal development activities (e.g., well drilling) that might require each type of approval, including an overview and discussion of the ...

Young, K. et al National Renewable Energy Laboratory

Sep 30, 2014
5 Resources
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Geothermal Development and the Use of Categorical Exclusions Under NEPA

This study focuses primarily on the Categorial Exclusions (CX) process and its applicability to geothermal exploration. In this paper, we: Provide generalized background information on CXs, including previous NEPA reports addressing CXs, the process for developing CXs, and the ro...

Young, K. and Levine, A. National Renewable Energy Laboratory

Sep 30, 2014
4 Resources
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The Value of Spatial Information for Determining Well Placement

The article and accompanying spreadsheet represent the information posteriors derived from synthetic data of magnetotellurics (MT). These were used to calculate value of information of MT for geothermal exploration. Information posteriors describe how well MT was able to locate t...

Trainor-Guitton, W. et al Lawrence Livermore National Laboratory

May 12, 2014
3 Resources
0 Stars
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Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States

This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events....

Gunda, T. and Jackson, N. Sandia National Laboratories

Apr 01, 2021
2 Resources
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BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...

Tripp, C. et al National Renewable Energy Laboratory

Dec 30, 2022
9 Resources
1 Stars
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