AndreaBozzo/ceres-open-data-index huggingface dataset:
EGS Collab Experiment 1: Continuous Active-Source Seismic Monitoring (CASSM) Data

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 experiment was performed at the 4850 ft level of the Sanford Underground Research Facility (SURF), approximately 1.5 km below the surface at Lead, South Dakota.

The data reported here were collected by the continuous active-source seismic monitoring (CASSM) system (Ajo-Franklin et al., 2011). This system was permanently installed in the testbed and consisted of 17 piezoelectric sources that were recorded by 2-12 channel hydrophone arrays, 18 3-C accelerometers, and 4 3-C geophones at a Nyquist frequency of 24kHz. The source array was activated in a repeated sequence of shots (each source fired 16 times and stacked into resultant waveforms) for the duration of the experiment (April 25, 2018 - March 7, 2019) with few exceptions. Please see the attached documents describing the source / receiver geometry. 

The data are available in both seg2 (.dat extension) and segy (.sgy extension) format. Each segy file contains multiple seg2 files.

Tags: accelerometer, active-source, cassm, continuous, egs, egs-collab, energy, experiment, experiment-1, fracturing, geophone, geophysics, geothermal, hydraulic, hydrophone, imaging, meso-scale, monitoring, sanford-underground-research-facility, seismic, stimulation, surf, well-instrumentation
Organization: Department of Energy
Hard Rock Drilling Optimization Software

The main objective of the developed software is to reduce the cost per foot during drilling, in other words, optimize the drilling operational parameters in achieving optimum ROP while avoiding critical operational parameters due to either low ROP, drillstring vibration, accelerated cutter wear, or low MSE. The developed software can also be used for post-well analysis to provide insight and lessons learned for future drilling operations. Several functions are available in the software to help the user perform drilling analysis, optimization, and simulation. 

Tags: custom-software, drilling, drilling-analysis, drilling-optimization, drilling-simulation, geothermal, geothermal-drilling, gui, hard-rock, hard-rock-drilling, model, optimization, simulation, software
Organization: Department of Energy
Reactive Transport Modeling of Aquifer Thermal Energy Storage System at Stockton, NJ

This is the modeling data (input/output files of TOUGHREACT 4.10) used to simulate the reactive transport processes of the Aquifer Thermal Energy Storage (ATES) operations at Stockton University, NJ. Readme.txt lists all the files. TOUGHREACT 4.10 requires to reproduce the modeling output. The modeling data in this submission is related to the Aquifer Injection for Energy Storage purposes outlined in "Reactive Transport Modeling of Aquifer Thermal Energy Storage System at Stockton, NJ During Seasonal Operations".

Tags: aquifer, data, energy, energy-storage, geochemical, geothermal, hydrogeochemical, injection, model, modeling-data, seasonal-cooling, seasonal-energy-storage, seasonal-heating, seasonal-heating-and-cooling, simulation, thermal-energy-storage, thermal-storage, toughreact
Organization: Department of Energy
Community Resilience through Low-Temperature Geothermal Reservoir Thermal Energy Storage

Submitted data include simulations related to underground thermal battery (UTB) simulations described in Modeling and efficiency study of large scale underground thermal battery deployment, presented at GRC, October 2021.

The UTB is comprised of a tank of water, a helical heat exchanger in the center of tank and connected to a water source heat pump, and a phase change material (PCM). Compared to a conventional VBGHE, the UTB is designed to be installed at a much shallower depth, therefore, with a cheaper cost. In addition, the GSHP efficiency is improved due to natural convection of water and additional load capacity provided by PCM. The goal of this study is to explore factors that may affect the efficiency of large-scale UTB deployment. The simulations found in this submission relate to the report on UTB deployment.

Tags: alternative-technology, battery, cost-reduction, energy, energy-storage, geothermal, ground-source-heat-pump, gshp, heat-exchanger, heat-pump, low-cost-alternative, model, modeling, performance-model, phase-change-material, simulation, thermal-storage, underground-thermal-battery, utb
Organization: Department of Energy
Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid

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 large scale grid, with some results.  First simulation of J.T. Smith, E. Sonnenthal, P. Dobson, P. Nico, and M. Worthington, 2021. Thermal-hydrological-mechanical modeling of Stockton University reservoir cooling system, Proceedings of the 46th Workshop on Geothermal Reservoir Engineering, Stanford University, SGP-TR-218, from which Figures 1-5 pertain.

Tags: aquifer-storage-cooling-system, cfd, cooling, fea, flow, flow-simulation, geothermal, geothermal-cooling, ground, ground-cooling, ground-source, injection, model, modeling, new-jersey, reservoir, reservoir-cooling, reservoir-cooling-system, simulation, stockton-university, thermal-hydrological-mechanical, withdrawal
Organization: Department of Energy
Microhole drilling technology utilizing a golden section search algorithm

A fundamental issue in microhole drilling is that delivering high weight-on-bit (WOB), high torque rotational horsepower to a conventional drill bit does not scale down to the hole sizes necessary to realize the envisioned cost savings An optimization algorithm called a golden section search (GSS) was used to systematically identify the preferred WOB for a given set of conditions. This research focused on implementing and evaluating two low WOB drilling technologies for microhole drilling:
- Laser-assisted mechanical drill, which was tested in the laboratory
- Lightly modified commercial off-the-shelf (COTS) percussive hammer, which was tested in a limited field test.

Data were collected for microhole GSS using WOB optimization via simulation as well as at the Blue Canyon Dome Site in Socorro, NM.

Information on the attached files and folders are as follows:
- the .tdms files are LabView data files, which can be opened within Excel using a .tdms add-in or using a Matlab .tdms converter
- the .tdms_index files are part of the .tdms file structure
- sampling rate, column headers, and length data within the .tdms files follow SOP when utilizing Excel and/or Matlab as described above

Tags: algorithm, blue-canyon-dome, drilling, exploration, feasibility, geothermal, golden-section-search, gss, microholes, monitoring, new-mexico, new-mexico-tech-energetic-materials-research-and-testing-center, optimization, percussive-hammer, slimholes, socorro, technical-assessment, weight-on-bit, wob
Organization: Department of Energy
An HPC-Based Hydrothermal Finite Element Simulator for Modeling Underground Geothermal Behavior with Example Simulations on The Treasure Island and UC Berkeley Campus

This submission contains the source code of the Hydrothermal Finite Element Simulator used for the Treasure Island and UC Berkeley campus geothermal simulation. It contains a report that summarizes the development and validation of this Hydrothermal Finite Element Simulator, with a case study on Treasure Island site. It also contains a report that investigates the feasibility of upgrading the existing campus energy delivery system at UC Berkeley to a fifth-generation district heating and cooling system that includes geothermal heat/cold storage.

Tags: c_, community-scale, coupled-hydrothermal-modeling, deal-ii, district-cooling, district-heating, district-heating-and-cooling-system, energy, energy-delivery, energy-storage, finite-element, geothermal, geothermal-storage, goethermal-energy-storage, ground-source-heat-pump, parallel-computing, simulation, subsurface-heat-response, treasure-island, uc-berkeley, uc-berkeley-campus
Organization: Department of Energy
Utah FORGE: Updated Well, Well Pad, and Seismic Station GPS Coordinates December, 2021

This is a CSV spreadsheet containing UTM and Latitude and Longitude coordinates and elevations for Wells 78-32, 78B-32, 56-32, 58-32, 68-32, and 16A(78)-32 and seismic stations BOR1, BOR2, BOR3, FOR1, FOR2, FOR5, FOR6, FOR 7, FOR8, FORK, FORU, FORW, and FORB. These are from a GPS survey conducted by the Utah Geological Survey completed in December, 2021.

Tags: energy, geothermal, goephysics, gps-survey, seismic, seismic-station-coordinates, seismicity, station, utah, utah-forge, well, well-data, well-head-coordinates, well-pad-coordinates
Organization: Department of Energy
WHOLESCALE Catalog of Rock Samples at San Emidio Nevada collected in January 2021

This submission contains information on thirty-six rock samples collected from San Emidio, Nevada during January, 2021 for Subtask 2.3 of the WHOLESCALE project. The following resources include a .zip of rock sample photos taken in the field, a .zip of rock sample photos taken in the laboratory at UW-Madison, and an excel catalog of rock samples with information on sample name, rock type, coordinates of sample location, structural measurements, field notes, observations for plug preparation (e.g., weathering, ability to be cut and cored), and rock descriptions. It should be noted that not every sample was photographed in the field. Names and descriptions of rock formation units are taken from Rhodes et al. (2011). The README.txt file is a description of this submission.

Tags: core-samples, energy, field, geology, geothermal, hole, hydrologic, images, mechanical, modeling, nevada, observation, photos, physics, rock-sample, rock-samples, sample, samples, san-emidio, spatial, stress, system, temporal, thermal, water, wholescale
Organization: Department of Energy
NTB (Non-technical Barriers) - Interviews with Geothermal Stakeholders for Geothermal Development in the Salton Sea.

Non-technical barriers to deploying geothermal electricity projects in the United States can create significant delays and other challenges, leading to higher project risk and costs, lost opportunities to access policy incentives, and ultimately decreased competitiveness against other electricity generation technologies. These non-technical barriers cover multiple aspects of geothermal project development, including land access and permitting as well as other environmental regulations.  Interviews were held with relevant stakeholders in California and Nevada to discuss their experiences with land access and permitting approvals for geothermal projects from the perspectives of both regulators and developers.

Tags: barriers, california, energy, environmental, geothermal, interviews, nevada, non-technical, non-technical-barriers, ntb, regulatory, salton-sea, stakeholders
Organization: Department of Energy
Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This submission contains shapefiles, geotiffs, and symbology for the revised-from-Play-Fairway potential structures/structural settings used in the Nevada Geothermal Machine Learning project. Layers include potential structural setting ellipses, centroids, and distance-to-centroid raster.

A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.

Tags: accommodation-zone, centroids, code, data, displacement-transfer-zone, distance-to-centroid, ellipses, energy, fault-bend, fault-intersection, fault-termination, geospatial, geospatial-data, geothermal, gis, machine-learning, nevada, potential-structures, pull-apart, raster, stepover, structural-setting, structure
Organization: Department of Energy
Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project.

A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.

Tags: characterization, code, energy, geochemistry, geophysics, geospatial, geospatial-data, geothermal, geothermometry, machine-learning, nevada, paleo-geothermal, play-fairway, sinter, travertine, tufa
Organization: Department of Energy
Machine Learning Model Geotiffs - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk), input rasters of feature sets, and positive/negative training sites.

See readme .txt files and final report for additional metadata.
A submission linking the full codebase for generating machine learning output models is available under "related resources" on this page.

Tags: algorithm, ann, bayesian, bnn, characterization, elm, energy, exploration, feature-set, geothermal, geotiff, great-basin, inputs, machine-learning, neural-network, nevada, nmf, outputs, pca, pfa, play-fairway, principal-component, raster, training-sites
Organization: Department of Energy
GIS Resource Compilation Map Package - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups include: new/revised datasets (paleo-geothermal features, geochemistry, geophysics, heat flow, slip and dilation, potential structures, geothermal power plants, positive and negative test sites), machine learning model input grids, machine learning models (Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk) - supervised and unsupervised), original NV Play Fairway data and models, and NV cultural/reference data.

See layer descriptions for additional metadata. 
Smaller GIS resource packages (by category) can be found in the related datasets section of this submission. A submission linking the full codebase for generating machine learning output models is available through the "Related Datasets" link on this page, and contains results beyond the top picks present in this compilation.

Tags: ann, bnn, characterization, cultural, data, dilation, dlip, elm, energy, exploration, geochemistry, geodatabase, geophysics, geothermal, gis, great-basin, heat-flow, hydrothermal, machine-learning, map-package, models, nevada, nmf, paleo-geothermal-features, pca, pfa, play-fairway, processed-data, slip-and-dilation, structure, supervised, test-sittes, unsupervised
Organization: Department of Energy
USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevada. The geophysics data include map surfaces related to gravity and magnetic data, and line and point data derived from those surfaces. Heat flow data include an interpolated map of heat flow in mW/m^2, an error surface, and well data used to construct them. The dilation and slip tendency information exist as attributes assigned to each line segment of mapped faults and geophysical lineaments.

GDR submission contains link to official USGS data release. Additional metadata available on source DOI page.

Tags: characterization, dilation, energy, exploration, faults, geophisics, geophysics, geothermal, geotiffs, gravity, great-basin, heat-flow, hydrothermal, machine-learning, magnetics, nevada, pfa, slip
Organization: Department of Energy
Utah FORGE: Updated Seismic Event Catalogue from the April, 2022 Stimulation of Well 16A(78)-32

These are revised catalogs, related to the April, 2022 well 16A(78)-32 stimulation (phases 1,2, & 3), provided by Geo Energie Suisse (GES) that include additional events at the start of Stage 1 and some tidying up of some locations. These catalogs also include events for additional events that were auto-located to provide a larger dataset for statistical analyses, like b-value calculations. The actual auto-locations have been removed to prevent spurious location plots being created.  Times are recorded in UTC (Coordinate Universal Time), and the coordinate reference system is UTM Zone 12N, NAD83.

Tags: b-value, characterization, egs, excel, forge, geothermal, ges, p-wave, processed-data, s-wave, seismic-data, seismicity-data, stimulation, utah-forge, utah-forge-seismic-data, well-16a78-32, well-16a78-32-seimicity, well-16a78-32-stimulation, well-16a78-32-stimulation-seismic, well-16a78-32-stimulation-seismicity, well-data
Organization: Department of Energy
3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydraulic conductivity. Vertical connectivity (a through going network of permeable areas that allows advection of heat from depth to the shallow subsurface) is rare and is confined to relatively small volumes that have highly variable spatial distribution. This local compartmentalization of connectivity represents a significant challenge to understanding hydrothermal circulation and for exploring, developing, and managing hydrothermal resources. Here, we present an evaluation of the geologic characteristics that control this compartmentalization in hydrothermal systems through 3-D analysis of the Brady geothermal field in western Nevada. A published 3-D geologic map of the Brady area is used as a basis to develop structural and geological variables that are hypothesized to control or effect permeability or connectivity. The 3-D distribution of these variables is compared to the distribution of productive and non-productive fluid flow intervals along production wells and non-productive wells via principal component analysis (PCA). This comparison elucidates which geologic and structural variables are most closely associated with productive fluid flow intervals. Results indicate that production intervals at Brady are located: (1) within or near to known and stress-loaded macro-scale faults, and (2) in areas of high fault and fracture density.

This submission includes the published journal article detailing this work, the published 3-D geologic map of the Brady Geothermal Area used as a basis to develop structural and geological variables that are hypothesized to control or effect permeability or connectivity, 3-D well data, along which geologic data were sampled for PCA analyses, and associated metadata file. This work was done using existing R programs.

Tags: 3d-geologic-model, 3d-well-data, bhs, brady, brady-hot-springs, characterization, code, energy, faults, geologic-model, geologic-structure, geology, geophysics, geothermal, geothermic, hydrothermal, machine-learning, ml, pca, principal-component-analysis, production, r_, stress, unsupervised
Organization: Department of Energy
Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity production and direct use of hydrothermal fluids. Transmissive fuid-fow pathways are relatively rare in the subsurface, but are critical components of hydrothermal systems like Brady and many other types of fuid-fow systems in fractured rock. Here, we analyze geologic data with ML methods to unravel the local geologic controls on these pathways. The ML method, non-negative matrix factorization with k-means clustering (NMFk), is applied to a library of 14 3D geologic characteristics hypothesized to control hydrothermal circulation in the Brady geothermal field. Our results indicate that macro-scale faults and a local step-over in the fault system preferentially occur along production wells when compared to injection wells and non-productive wells. We infer that these are the key geologic characteristics that control the through-going hydrothermal transmission pathways at Brady. Our results demonstrate: (1) the specific geologic controls on the Brady hydrothermal system and (2) the efficacy of pairing ML techniques with 3D geologic characterization to enhance the understanding of subsurface processes.

This submission includes the published journal article detailing this work, the published 3D geologic map of the Brady Geothermal Area used as a basis to develop structural and geological variables that are hypothesized to control or effect permeability or connectivity, 3D well data, along which geologic data were sampled for PCA analyses, and associated metadata file. This work was done using the GeoThermalCloud framework, which is part of SmartTensors (both are linked below).

Tags: 3d-geologic-map, 3d-well-data, bhs, brady, brady-hot-springs, characterization, clustering, code, energy, faults, geologic-model, geologic-structure, geology, geothermal, geothermalcloud, hydrothermal, k-means, machine-learning, matrix-factorization, ml, nmfk, nonnegative-matrix-factorization, nonnegative-matrix-factorization-k-means, production, smarttensors, stress, unsupervised
Organization: Department of Energy
Utah FORGE: Well 78B-32 Core Photos - Wet and Dry in Boxes

This is a set of 42 core photos, in boxes, from Utah FORGE well 78B-32. The photos show the core both wet and dry from depths of 6700 - 6737 feet and 8502 - 8538 feet.

Tags: egs, energy, engineering, forge, fracturing, geothermal, hydraulic, reservoir, utah-forge, utah-geothermal, well-78b-32-core, well-78b-32-core-photos, wet-and-dry-core, wet-and-dry-sample
Organization: Department of Energy