AndreaBozzo/ceres-open-data-index huggingface dataset:
Clean Hydrogen Hubs and Geologic Storage Shapefiles

There are 6 shapefile folders:

1.	Potential geologies for H2 storage (These shapefiles are from Sandia National Laboratories)
2.	Natural gas storage sites and capacities (Shapefile using data from the Lackey et al., 2023 study - https://doi.org/10.1029/2022GL101420)
3.	Planned natural gas storage sites (Shapefile using data from the EIA – **specific locations represent that of the hosting county)
4.	Inactive natural gas storage sites (Shapefile using data from the EIA)
5.	Planned or existing H2 storage sites (Shapefile using data from various web sources)
6.	Clean hydrogen hubs from OCED (Shapefile by georeferencing the OCED figure (https://www.energy.gov/oced/regional-clean-hydrogen-hubs-selections-award-negotiations) and converted the hubs to polygons. This shapefile has three versions.) 

Tags: Geological Map, SHASTA, SHASTA Shapefiles, geologic map
Illinois Basin Coal Wells

Data described of the Illinois Basin Coal Wells from the Technical Report:

Paronish, T.; Crandall, D.; Jarvis, K.; Workman, S.; Pohl, M.; Drosche, J.; Mckisic, T.; McLaughlin P.; Freidberg, J.; Delpomdor F. Computed Tomography Scanning and Petrophysical Measurements of Illinois Basin Coal Wells; DOE/NETL-2024/XXX; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2024; p 59.

Tags: CT images, CT scanning, Coal, Critical Minerals, Illinois Basin, Rare Earth Element, XRF
SHASTA-HELP

This tool contains functionality for estimating the storage potential of pure and blended natural gas-hydrogen mixtures in various subsurface formations and is intended to be used for pre-characterization or site screening purposes. Detailed storage analysis should be conducted by full reservoir simulation models.

Tags: Hydrogen, Hydrogen Estimator, Hydrogen Estimator for Logistical Planning, Model and Tool, SHASTA, SHASTA-HELP, Tools
Illinois State Geological Survey (ISGS), Illinois Basin - Decatur Project (IBDP) Seismic Data, July 7, 2021. Midwest Geological Sequestration Consortium (MGSC) Phase III Data Sets. DOE Cooperative Agreement No. DE-FC26-05NT42588.

Seismic data from the IBDP, included primarily under folders: Active_Seismic_Data and Passive_Seismic_Events_Monitoring.

The data included under IBDP_Located_Microseismic_Event_Data are a subset of microseismic (Passive Seismic Events Monitoring) data acquired throughout the project from pre-injection to shut-in. These data represent the “located” microseismic events and the two datasets, located in folders Downhole_Geophone_Data and Surface_Seismometer_Data, are correlated.



Tags: 2D Seismic, 3D Seismic, Carbon Sequestration, Decatur, Illinois Basin, Midwest Geological Sequestration Consortium, Seismic Data
ORION: Operational FoRecastIng Of INduced Seismicity

The Operational Forecasting of Induced Seismicity toolkit “ORION” (ORION) is an open-source, observation-based ensemble forecasting toolkit which is geared towards helping operators understand the seismic hazard (i.e., probabilistic assessment of the magnitude and frequency of induced seismic events) at a site. ORION analyzes how the seismic hazard evolves during injection and suggests possible mitigation strategies to employ if an earthquake that exceeds certain threshold is observed. Through its ensemble modeling approach, ORION leverages the benefits of statistical-, physics-, and machine learning-based forecasting methodologies, while reducing the impact of each model’s respective limitations. The ORION toolkit consists of an easy-to-use GUI interface that affords a user as much or as little interaction as desired. Advanced capabilities allow the user to upload local, high-precision earthquake catalogs, projected injection profiles and/or spatiotemporal estimates of pressure/stress, and to tune various model parameters. ORION will then provide a spatial and temporal ensemble forecast of seismicity defined as the probability of exceedance of a given earthquake magnitude over a forecast period. Additionally, ORION will provide probability distribution of the statistically derived maximum possible earthquake magnitude that may be expected. Finally, ORION will provide suggested operational management strategies (e.g. reduce injection volumes at specific wells) based on the level of hazard.

Tags: NRAP, NRAP Tools, ORION, Operational Forcasting of Induced Seismicity, seismic hazard
Illinois State Geological Survey (ISGS), Wabash CarbonSAFE Seismic Data, 2022, DOE Cooperative Agreement Number: DE-FE0031626.

Seismic data and reports from the Wabash CarbonSAFE project, including folders: Champaign_2D_Line, Paris_2D_Line, and Wabash_2D_Lines_1000_2000.

Tags: 2D Seismic, CarbonSAFE, Champaign, Illinois, Indiana, Paris, Phase II, Seismic Data, Vigo County, Wabash
Geocube

NOTICE: Geocube has been replaced by EDX Spatial, a modern geospatial platform to map, visualize, query and explore spatial data.

Online web mapping tool for visualization and simple analysis of Earth-energy data files from public and DOE related sources. Geocube allows users to upload and visualize their own datasets but also comes preloaded with individual spatial datasets as well as spatial data collections that align to topical themes.

Tags: Earth, GIS, carbon storage, consumption, customize, download, energy, environmental, fault, gas, geodatabase, geographic, hydrocarbon, infrastructure, offshore, oil, onshore, permeability, pipeline, porosity, pressure, production, reservoir, sequestration, shapefile, subsurface, surface, temperature, thickness, transmission, unconventional, visualization, well
Cumulative Spatial Impact Layers™

Cumulative Spatial Impact Layers™ (CSIL) is a GIS-based tool that summarizes spatio-temporal datasets based on overlapping features and attributes. Applying a recursive quadtree method and multiple additive frameworks, the CSIL tool allows users to analyze raster and vector datasets simultaneously by calculating data, record, or attribute density. The CSIL tool was designed based on the original approach (Bauer et al. 2015) and more information on the tool overall along with applications can be found in Romeo et al. 2019). Providing an efficient summary of disparate geospatial data, CSIL bridges the gap between understanding data and analysis.

Bauer, J. R., Nelson, J., Romeo, L., Eynard, J., Sim, L., Halama, J., Rose, K., & Graham, J. (2015). A spatio-temporal approach to analyze broad risks and potential impacts associated with uncontrolled hydrocarbon release events in the offshore Gulf of Mexico (NETL-TRS-2-2015 EPAct Technical Report Series). U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV; p 60.

Romeo, L., Nelson, J., Wingo, P., Bauer, J., Justman, D., & Rose, K. (2019). Cumulative spatial impact layers: A novel multivariate spatio‐temporal analytical summarization tool. Transactions in GIS.

Tags: Multivariate Visualization, Spatial Overlay, Spatio-temporal Analysis
PW2 Pumping: March 18 thru March 22, 2020

Processed Coherence-length-gated Microwave Photonics Interferometry (CMPI) distributed vertical strain on March 18 through March 22, 2020 at the hydromechanical test facility located at the Clemson University Simpson Station research facility in Central, South Carolina, USA.   This includes ambient data in addition to a pumping test performed between 14:31-20:31 EST on 3/22/2020 from Pumping Well 2 (PW2).  These data are from a strain ribbon that was deployed in the vadose zone at approximately 34.670130°N, -82.729524°E from the ground surface to a depth of 8m in saprolite containing weak reflectors pairs were placed every 0.85 m along the fiber.  Each weak reflector pair forms a 15 cm cavity strain meter.  Strain unit: meters/meter (strain).  Sampling rate 0.1 Hz.

Each column corresponds to the strain data taken at a depth d from the ground surface.

c1: d = 1.00m
c2: d = 1.85m
c3: d = 2.70m
c4: d = 3.55m (large demodulation error)
c5: d = 4.40m
c6: d = 5.25m
c7: d = 6.10m (large demodulation error)
c8: d = 6.95m

Tags: Distributed Strain Sensing, Optical fiber sensors, Well Test Data
Overview and How-to Tutorial Videos for Using NEWTS Data

Overview and How-to Tutorial Videos for Using NEWTS Data

Video 1: Overview of NEWTS Database

Video 2: How-to tutorial for EPA Flue Gas Desulfurization (FGD) Effluent NEWTS dataset

Video 3: How-to tutorial for USGS Produced Waters NEWTS dataset

Video 4: How-to tutorial for EPA Ash NEWTS dataset

Video 5: How-to tutorial for Quillinan, et al 2018 DOE Geothermal Technology Office REE dataset

Video 6: Tutorial video on navigating the NEWTS Dashboard, with an overview of NEWTS and navigating between the NEWTS Dashboard and Datasets (https://netl-doe.maps.arcgis.com/apps/dashboards/a5fa4192f7c6478dab3d6180d9c30b84)

Video 7: Additional tutorial video on navigating the NEWTS Dashboard and investigating specific data points in the Dashboard and Datasets

Video 8: Re-record of recent webinar giving an overview of the NEWTS Database and Dashboard, including interacting with the NEWTS Dashboard, locating specific data points, and finding the relevant streams in the NEWTS Database and datasets on EDX.

Includes overview of the datasets, case studies, and steps for taking stream data from the database and modeling stream data in OLI Studio and Geochemist's Workbench.
Note: Video 3 tutorial is also applicable to the USGS Brackish Water NEWTS dataset.

Tags: Aqueous Chemistry, Brackish Groundwater, FGD Effluent, Geochemists Workbench, NEWTS, OLI Systems, Produced Water, Tutorial, Water Treatment
Generic Aquifer Component Training Dataset

Training dataset for the Generic Aquifer Component of NRAP-Open-IAM.  Consists of the results of 62,500 STOMP-CO2 simulations of brine and CO2 leakage of varying rates and salinity into aquifers of varying thickness, depth, porosity, permeability, anisotropy and initial salinity.  Described in report https://www.pnnl.gov/main/publications/external/technical_reports/PNNL-32590.pdf

Tags: Aquifer Impact Model, NRAP-Open-IAM, integrated assessment model
SMART CarbonSAFE Model

The modeling work for this project built upon previous work done for the CarbonSAFE Rocky Mountain Phase I. A geologic and dynamic model was built in Petrel version 2019.3 for the area of the Colorado Plateau near Price, Utah. It is located at the north end of the San Rafael Swell in a natural gas field called Drunkards Wash. The model is 61.5 km east-west and 53 km north to south with 123x106x21 cells, giving a cell dimension of 50x50 m2. The 21 layers in the Z direction are of varying thickness depending on the formation. The Carmel, the seal layer, has 3 layers and is about 200 meters thick around the injection well. The Navajo Sandstone, the principal reservoir, has 5 layers and is about 100 meters thick. The Kayenta has 5 layers and is roughly 50 meters thick and the Wingate, a secondary reservoir, has 5 layers and is 120 meters thick. The base of the model is the Chinle Formation with 3 layers and about 120 meters of thickness..

Tags: CCS, Carbon Dioxide, Carbon Sequestration, Geologic Carbon Storage
A Geo-Data Science Method for Assessing Unconventional Rare-Earth Element Resources in Sedimentary Systems

Rare-earth elements (REEs) supply raw materials that constitute many of our modern critical infrastructure, defense, technology, and electrification needs. Despite REE accumulations occurring in conventional bedrock and ion-adsorption deposits sourced from weathering of igneous rocks, unconventional host materials such as coal and related sedimentary strata have been identified as promising sources of REEs to meet growing demand. To maximize the potential of unconventional resources such as REE-coal systems, new approaches are needed overcome challenges from mineral systems with no known deposits and areas with sparse geochemical data. This article presents a systematic knowledge-data resource assessment method for predicting and identifying REE resource potential and occurrence in these unconventional systems. The method utilizes a geologic and geospatial knowledge-data approach …

Tags: AI, Critical Minerals, REE, Rare Earth Element, Resource Assessment, artificial intelligence, machine learning
Carbon ore resources and associated supply chain data

The Carbon Ore Resources Database (CORD) is a working collection of 399 data files associated with carbon ore resources in the United States. The collection includes spatial/non-spatial, filtered, processed, and secondary data files with original data acquisition efforts focused on domestic coal resources. All data were acquired via open-source, online sources from a combination of 18 national, state, and university entities. Datasets are categorized to represent aspects of carbon ore resources, to include: Geochemistry, Geology, Infrastructure, and Samples. Geospatial datasets are summarized and analyzed by record and dataset density or the number of records or datasets per 400 square kilometer grid cells. Additionally, the “CORD Platform,” an ArcGIS Online geospatial dashboard web application, enables users to interact and query with CORD datasets. The CORD provides a single database and location for data-driven analytical needs associated with the utilization of carbon ore resources.

Tags: Critical Minerals, REE, Rare Earth Element, Supply Chain, data, tool
Unified Core Characterization Methodology for REE and CM

Abstract
A significant gap exists in our understanding and ability to predict the spatial occurrence and extent of rare earth elements (REE) and certain critical minerals (CM) in sedimentary strata. This is largely due to a lack of existing, systematic, and well-distributed REE and CM samples and analyses in United States sedimentary basins. In addition, the type of sampling and characterization performed to date has generally lacked the resolution and approach required to constrain geologic and geographic heterogeneities typical of subsurface, mineral resources. Here, we describe a robust and systematic method for collecting core scale characterization data that can be applied to studies on the contextual and spatial attributes, the geologic history, and lithostratigraphy of sedimentary basins. The methods were developed using drilled cores from coal bearing sedimentary strata in the Powder River Basin, Wyoming (PRB). The goal of this effort is to create a unified core characterization methodology to guide systematic collection of key data to achieve a foundation of spatially and geologically constrained REEs and CMs. This guidance covers a range of measurement types and methods that are each useful either individually or in combination to support characterization and delineation of REE and CM occurrences. The methods herein, whether used in part or in full, establish a framework to guide consistent acquisition of geological, geochemical, and geospatial datasets that are key to assessing and validating REE and CM occurrences from geologic sources to support future exploration, assessment, and techno-economic related models and analyses.

Tags: Characterization, Critical Minerals, REE, Rare Earth Element, core, method
URC Assessment Method

This tool evaluates the potential occurrence of URC resources using a series of validated heuristics as outlined in "Creason, C.G., Justman, D., Rose, K. et al. A Geo-Data Science Method for Assessing Unconventional Rare-Earth Element Resources in Sedimentary Systems. Nat Resour Res (2023). https://doi.org/10.1007/s11053-023-10163-x"

Tags: Critical Minerals, REE, Tools, Unconventional Resources, simpa, software
Carbon Storage Open Database

The Carbon Storage Open Database is a collection of spatial data obtained from publicly available sources published by several NATCARB Partnerships and other organizations. The carbon storage open database was collected from open-source data on ArcREST servers and websites in 2018, 2019, 2021, and 2022. The original database was published on the former GeoCube, which is now EDX Spatial, in July 2020, and has since been updated with additional data resources from the Energy Data eXchange (EDX) and external public data resources. 

The shapefile geodatabase is available in total, and has also been split up into multiple databases based on the maps produced for EDX spatial. These are topical map categories that describe the type of data, and sometimes the region for which the data relates. The data is separated in case there is only a specific area or data type that is of interest for download. 

In addition to the geodatabases, this submission contains:

1. A ReadMe file describing the processing steps completed to collect and curate the data.

2. A data catalog of all feature layers within the database. 

Additional published resources are available that describe the work done to produce the geodatabase:

Morkner, P., Bauer, J., Creason, C., Sabbatino, M., Wingo, P., Greenburg, R., Walker, S., Yeates, D., Rose, K. 2022. Distilling Data to Drive Carbon Storage Insights. Computers & Geosciences. https://doi.org/10.1016/j.cageo.2021.104945

Morkner, P., Bauer, J., Shay, J., Sabbatino, M., and Rose, K. An Updated Carbon Storage Open Database - Geospatial Data Aggregation to Support Scaling -Up Carbon Capture and Storage. United States: N. p., 2022. Web. https://www.osti.gov/biblio/1890730

Morkner, P., Rose, K., Bauer, J., Rowan, C., Barkhurst, A., Baker, D.V., Sabbatino, M., Bean, A., Creason, C.G., Wingo, P., and Greenburg, R. Tools for Data Collection, Curation, and Discovery to Support Carbon Sequestration Insights. United States: N. p., 2020. Web. https://www.osti.gov/biblio/1777195

Disclaimer:
This project was funded by the United States Department of Energy, National Energy Technology Laboratory, in part, through a site support contract. Neither the United States Government nor any agency thereof, nor any of their employees, nor the support contractor, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.  Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.  


Tags: CSOD, EDX Spatial, RCSP, carbon storage, carbon storage data, ccs, co2, coal, oil, saline, sequestration, sources
Visualization of MFIX-Exa Simulation of NETL 50kW CLR

The exascale demonstration problem for the ECP code MFIX-Exa was a short-duration CFD-DEM simulation of NETL’s 50kW CLR. In order to ensure that the demonstration simulation exercised physically relevant operating conditions, a low-fidelity PIC simulation was first carried out for five seconds. Then, the PIC-to-DEM application was used to generate the high-fidelity CFD-DEM condition for the challenge problem simulation on OLCF’s Frontier. This visualization, rendered with paraview, investigates the state of the CLR at the end moment of the PIC-to-DEM transformation. This animation was conceptualized and rendered as part of the Mickey Leland Energy Fellowship activities of Alexander Biggs. 

Tags: MFIX-Exa, chemical looping, data visualization
NEWTS EPA Leachate Dataset

Data from the US EPA Leachate Database containing ash landfill leachate data from selected U.S. coal power plants. Original data from: Nguyen, Dan-Tam, Eastern Research Group. Sep 29, 2015. Analytical Database for the Steam Electric Rulemaking - DCN SE05359. https://www.regulations.gov/document/EPA-HQ-OW-2009-0819-5640

Tags: Ash Landfill Leachate, Geochemists Workbench, OLI Systems, US EPA, Wastewater, Water Management, Water Quality
NEWTS EPA Ash Dataset

Data from the US EPA Ash Database containing Ash pond effluent data from selected U.S. coal power plants. Original data from: Nguyen, Dan-Tam, Eastern Research Group. Sep 29, 2015. Analytical Database for the Steam Electric Rulemaking - DCN SE05359. https://www.regulations.gov/document/EPA-HQ-OW-2009-0819-5640

Tags: Ash Pond, Geochemists Workbench, OLI Systems, US EPA, Wastewater, Water Management, Water Quality
NEWTS EPA Gasification Dataset and Case Studies

Data from the US EPA Gasification Database containing gasification effluent data from selected U.S. coal power plants. Original data from: Nguyen, Dan-Tam, Eastern Research Group. Sep 29, 2015. Analytical Database for the Steam Electric Rulemaking - DCN SE05359. https://www.regulations.gov/document/EPA-HQ-OW-2009-0819-5640
Files include: Original data tab, processed data and charge balance information in "NEWTS_EPA_Gasification_Effluent_Dataset_all_tabs.xlsx"
Individual .csv files for data in format for input into aqueous chemistry modeling software (OLI Systems and Geochemist's Workbench)
Data input templates for modeling streams in OLI Systems and Geochemist's Workbench 
Case studies for selected solved streams modeled in OLI Systems and Geochemist's Workbench

Tags: Geochemists Workbench, NEWTS, OLI Systems, US EPA, Wastewater, Water Management, Water Quality, gasification
ISGS CarbonSAFE Lively Grove Core

Computed tomography and core logging data from the Lively Grove #1 Well core drilled by the Illinois State Geological Survey in 2021 under DE-FE0031892. Data description can be found in: 

Crandall, D.; Paronish, T.; Mitchell, N.; Jarvis, K.; Brown, S.; Moore, J.; Gill, M.; Blakley, C.; Okwen, R.; Korose, C.; Carman, C. Computed Tomography Scanning and Petrophysical Measurements of the Lively Grove #1 Well Core; DOE/NETL-2023/3877; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2023; p 61.   

Tags: CarbonSafe, Computed Tomography, Core Characterization, Illinois State Geological Survey, geologic carbon storage
NEWTS EPA FGD Effluent Database

Data from the US EPA FGD Database containing FGD effluent data from selected U.S. coal power plants. Original data from: Nguyen, Dan-Tam, Eastern Research Group. Sep 29, 2015. Analytical Database for the Steam Electric Rulemaking - DCN SE05359. https://www.regulations.gov/document/EPA-HQ-OW-2009-0819-5640

Tags: FGD Effluent, Flue Gas Desulfurization, Geochemists Workbench, NEWTS, OLI Systems, US EPA, Wastewater, Water Quality
NEWTS Well Summary by Hydrologic Regions and Subbasins in the U.S.

Oil and gas well production data (2000-2022), including water production and injection, as well as summary information (e.g., well count by status, total vertical depth statistics, etc.) spatially summarized by Watershed Boundary Dataset's (WBD) region (Hydrologic Unit Code (HUC) 2) and subbasin (HUC8). Energy-related produced waters data were acquired and summarized in support of the development of the National Energy Technology Laboratory's NEWTS (National Energy Water Treatment and Speciation Database). Due to the proprietary nature of the wellbore data, this derived product has been spatially compiled by key areas to support research and stakeholder needs.

Tags: Energy Infrastructure, HUC, NEWTS, National Energy Water Treatment and Speciation Database, Oil and Gas Wells, Production, Region, Subbasin, U.S., United States, Watershed Boundary Dataset