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West Flank Coso FORGE: 83-11 Image and Mud Log Data

CBIL and STAR image logs as pre-processed DLIS files, and mud log of well 83-11
Blankenship, D. Sandia National Laboratories
Jul 31, 2009
3 Resources
0 Stars
Publicly accessible

West Flank Coso FORGE: 33A-7 Image and Mud Log Data

Circumferential Borehole Imaging Log (CBIL) image log as DLIS file, and PDF mud log of well 33A-7 as part of the West Flank Coso, CA FORGE site.
Blankenship, D. Sandia National Laboratories
Apr 08, 2010
2 Resources
0 Stars
Publicly accessible

West Flank Coso FORGE: 52B-7 Image and Mud Log

FMI image log and mud log of well 52B-7
Blankenship, D. Sandia National Laboratories
Apr 01, 1992
2 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 16B(78)-32 Drilling Data

This drilling data for Utah FORGE well 16B(78)-32 include a well survey, core summary, mud and mud temperature logs, daily reports of the drilling process, and additional data from the Pason oil and gas company. Well 16B(78)-32 serves as the production well for reservoir creation...
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
Jul 03, 2023
9 Resources
0 Stars
Publicly accessible

Data of High-Temperature Dynamic LCM Testing Setup

Data from high temperature dynamic sealing tests for various fracture widths, at various temperatures (degrees F), with 5 wt.% bentonite-based mud containing various material fiber contents, at 100 to 400 psi differential pressure. Data from pressure test and evaluation of the dy...
Magzoub, M. et al University of Oklahoma
May 31, 2021
11 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 16A(78)-32 Logs

This dataset contains all well logs from Utah FORGE well 16A(78)-32. This includes the mud log, Sanvean Technologies logs, and Schlumberger logs. Please see the file descriptions below for information about each log.
Gilmour, B. et al Energy and Geoscience Institute at the University of Utah
Mar 08, 2021
7 Resources
0 Stars
Publicly accessible

Energy Return On Investment of Engineered Geothermal Systems Data

The project provides an updated Energy Return on Investment (EROI) for Enhanced Geothermal Systems (EGS). Results incorporate Argonne National Laboratory's Life Cycle Assessment and base case assumptions consistent with other projects in the Analysis subprogram. EROI is a ratio o...
Mansure, C. Arthur Mansure
Jan 01, 2012
7 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 56-32 Drilling Data and Logs

This dataset consists of drilling data (Pason data spreadsheets, daily reports, days v. depth, mud logs), Schlumberger logs (FMI, shear anisotropy analysis, memory, sonic, array induction/spectral density/dual spaced neutron/gamma ray/caliper, spectral GR/temperature, and Gardner ...
Bristol, J. et al Energy and Geoscience Institute at the University of Utah
Mar 19, 2021
18 Resources
0 Stars
Publicly accessible

Utah FORGE Well 16A(78)-32 Drilling Data

This dataset includes survey data, drilling data, daily reports, summaries of daily operations, and rig photos from the drilling of Utah FORGE well 16A(78)-32, which is a highly deviated deep well. It was completed 60 days ahead of schedule. Rig move in began 10/22/2020 and dril...
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
Jan 08, 2021
15 Resources
0 Stars
Publicly accessible

Utah FORGE: Logs and Data from Deep Well 58-32 (MU-ESW1)

Data, logs, and graphics associated with the drilling and testing of Utah FORGE deep test well 58-32 (MU-ESW1) near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
11 Resources
0 Stars
Publicly accessible

Pressure Sensor and Telemetry Methods for Measurement while Drilling in Geothermal Wells

Project status report as of end of 2011. Key milestones and accomplishments in the year 2011 include: Proof of feasibility of analog and digital components with their lifetime tested for more than 500 hours at 300 degrees C, Demonstration of ceramic-based packaging capable of su...
Vert, A. GE Global Research
Jan 01, 2012
1 Resources
0 Stars
Publicly accessible

Method to Recover Media Ligand Losses During Sorption of Rare Earth Elements from Simulated Geothermal Brines

This document describes the method and results of an in-situ experiment used to confirm that ligand bleed from a sorptive media can be contained. The experiment focused on maintaining the media's sorption of rare earth elements (REE) obtained from a simulated geothermal brine dop...
Stull, D. Tusaar Corp.
May 24, 2016
2 Resources
0 Stars
Publicly accessible

Utah FORGE Well 78B-32 Daily Drilling Reports and Logs

This data set includes the daily drilling reports and Pason data for well 78B-32 and Schlumberger logs acquired after drilling completion. This well was drilled between June 27th and July 31st of 2021. Also included is raw and processed data for a variety of well data metrics incl...
McLennan, J. Energy and Geoscience Institute at the University of Utah
Aug 09, 2021
22 Resources
0 Stars
Publicly accessible

AquaPV: Foundational Analysis and Industry Guidance on Floating PV Results

This dataset contains results of the technical potential analysis of floating photovoltaics (FPV) on federally owned or permitted reservoirs in the United States. Estimates of the area of reservoirs that is technically feasible for FPV development are provided for reservoirs that...
Rosenlieb, E. et al National Renewable Energy Lab
Nov 08, 2024
3 Resources
0 Stars
Awaiting curation

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
0 Stars
Publicly accessible

Ridgelines: Department of Interior Definition

This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated

Centipod WEC, Advanced Controls, Baseline LCOE

Project baseline levelized cost of energy (LCOE) model for the Centipod WEC containing annual energy production (AEP) data, a cost breakdown structure (CBS), model documentation, and the LCOE content model. This baseline was built for comparison with the resultant LCOE model, buil...
McCall, A. Dehlsen Associates, LLC
Feb 15, 2016
7 Resources
0 Stars
Publicly accessible

Centipod WEC, Advanced Controls, Resultant LCOE

Project resultant levelized cost of energy (LCOE) model after implementation of model predictive control (MPC) controller. Contains annual energy production (AEP) data, cost breakdown structure (CBS), model documentation, and the LCOE content model. This is meant for comparison wi...
McCall, A. Dehlsen Associates, LLC
Feb 15, 2016
7 Resources
0 Stars
Publicly accessible

Life Cycle Water Consumption and Water Resource Assessment for Utility-Scale Geothermal Systems: An In-Depth Analysis of Historical and Forthcoming EGS Projects

This report is the third in a series of reports sponsored by the U.S. Department of Energy Geothermal Technologies Program in which a range of water-related issues surrounding geothermal power production are evaluated. The first report made an initial attempt at quantifying the li...
Schroeder, J. et al Argonne National Laboratory
Aug 31, 2013
11 Resources
0 Stars
Publicly accessible

Solar PV Structure Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from structures based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, T...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

Solar PV Water Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from water based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

Solar PV Road Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from roads based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

Wind Energy: Bans or Moratoriums (2022)

This dataset identifies counties and municipalities that had a wind energy ban or moratorium as of April 2022. A TIF data file and a PNG map of the data are provided, showing areas where wind energy bans or moratoriums exist across the contiguous United States. For further detail...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated

Next Generation Weather Radar (NEXRAD) Setback (4-km)

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents 4-kilometer setback requirements typically applied to ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated

Next Generation Weather Radar (NEXRAD) Radar Line-of-Sight

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents a line-of-sight for each radar station. Radar line-of-...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated
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