AndreaBozzo/ceres-open-data-index huggingface dataset:
Characterization of Geologic Sequestration Opportunities in the MRCSP Region: Middle Devonian- Middle Silurian Formations

Overview of lithostratigraphy, upper and lower contacts, depths and thicknesses, depositional environments, paleogeography, tectonism, structure and traps, reservoir characteristics and suitability as a CO2 injection target or seal unit for the Keefer Sandstone, Lockport Dolomite, Niagara Group, Bass Islands Dolomite, Oriskany Sandstone, Onondaga Formation-Needmore Shale, Detroit River Group-Bois Blanc Formation, Dundee and Rogers City Formations, as well as discussion of uncertainty in reservoir characterization and storage capacity estimates.

Tags: Bass Islands Dolomite, Dundee, Keefer Sandstone, Lockport Dolomite, Niagara Group, Onondaga-Needmore, Oriskany Sandstone, Rogers City, oil and gas fields, regional characterization, saline
BSCSP Kevin Dome  Meteorological Data

Slow-response (<10 Hz sampling rate) meteorological sensors were co-located with an eddy covariance system on June 28, 2014 at the Kevin Dome BSCSP site in Montana at (48.85931111 N, 111.72166667 W) in an agricultural field to monitor variations in air temperature and pressure, relative humidity, precipitation, solar flux and wind speed and direction on a half-hourly basis. 

Tags: BSCSP, metereological data
BSCSP Kevin Dome  Eddy Covariance Data

 An eddy covariance station and associated meteorological sensors was installed on June 28, 2014 at the Kevin Dome BSCSP site in Montana at (48.85931111 N, 111.72166667 W) in an agricultural field to monitor variations in CO2, H2O and sensible and latent heat fluxes, air temperature and pressure, and wind speed and direction on a half-hourly basis. 

Tags: 10 Hz, CO2 flux, Eddy covariance
Ground-based_transient_electromagnetic_data_and_resistivity_models_for_SubTER_BelleCreek_2017-2018

Ground-based transient electromagnetic (TEM) data were acquired in selected locations around Belle Creek, Montana to define the resistivity structure of the near surface. Data were acquired using the ABEM WalkTEM system (Guideline Geo Ab, Sundbyberg, Sweden). TEM data were processed and numerically inverted to derive one-dimensional resistivity structure using SPIA (Aarhus Geosoftware, Aarhus, Denmark).

This release includes raw and processed TEM data and resistivity models for each data location using the following structure:

├── Ground-based_transient_electromagnetic_data_and_resistivity_models_for_SubTER_BelleCreek_2017-2018.xml
├── SBC_TEM_2019_SoundingLocationsModels.gdb.zip - file geodatabase with all models and plots attached. This is a mirror of the contents of the model directory.
└── Ground-based_transient_electromagnetic_data_and_resistivity_models_for_SubTER_BelleCreek_2017-2018.zip
    ├── Data
    │   ├── SBC_USF - raw data
    │   │   ├── USF_format_description.pdf - manual describing the USF file format
    │   │   ├── SBC_SoundingID-USF_lookup.csv - table describing the USF file naming convention and channel mapping
    │   │   └── *.usf files - raw, unprocessed data files
    │   └── SBC_TEM - processed data
    │       ├── AarhusInv_manual.pdf - manual describing the TEM file format
    │       └── *.tem files - processed data files
    └── Models
        ├── SBC_Model_Plots - plots of the data and the models for each sounding location
        ├── TEM_model_data_dictionary.csv - data dictionary describing tabulated models
        └── SBC_TEM_models.csv - tabulated models


Tags: Geophysics, geophysical surveying, near-surface mapping, time-domain electromagnetics, transient electromagnetics
East Bend Groundwater Sampling Data

Excel files and PDFs containing shallow groundwater sampling data with information on total dissolved solids, anion analysis, and pH for monitoring wells.

Tags: EB-12, Kentucky, MW-1, MW-5, MW-5D, MW-8D, MW-9, MW-P5, MW-P7, P-14, P-8, Rabbit Hash, Shallow ground water, TDS, anion analysis, dissolved metal, pH
MPC 10-4 CoreLab Final Report

On June 1 and 2, 2019, RFS technicians collected samples from the subject well.  Please see RFS report number 201901859-5019068313 dated June 6, 2019, for complete details of the sampling program.

As requested, we have performed two complete water analyses with all metals on one of the reservoir waters; one sample having been filtered through a 0.2 µm filter. The results of these analyses, together with field conductivity measurements of returned water from swabbing operations are presented in this report.

Tags: Water analysis
CT Images of Graphene Enhanced Cement

Computed tomography scans and data of cement that has been enhanced with graphene nanoparticles. Associated with the manuscript "Mechanical Strength and Microstructural Characteristics of Wellbore Cement enhanced by Graphene Nanoplatelets" by Cody Massion, Yunxing Lu, Mercy Achang, Andrew Bunger, Daniel Bour, Dustin Crandall, and Mileva Radonjic

Tags: Graphene, cement, computed tomography, wellbore
NRAP Community Datasets CCS Site Catalog

The NRAP Community Datasets CCS Site Catalog documents data and information that are relevant to the NRAP community. The data catalog represents the results of a query for open-source spatial and non-spatial data for the top CCS sites in North America. The information selected for curation in this catalog is based on input from the NRAP community regarding present and future data needs. This accompanies a release of data from the FutureGen 2.0 site (https://edx.netl.doe.gov/group/futuregen-data) and Kimberlina model output releases (https://edx.netl.doe.gov/group/kimberlina-data) 


Contact Paige Morkner (paige.morkner@netl.doe.gov) with any questions regarding the submission. 
This catalog will continue to be updated as new resources are added. A ReadMe file is included that contains metadata to assist in using and analyzing the catalog. 

Tags: CCS, CCS Sites, CCUS, Carbon Storage, Catalog, FutureGen, NRAP, National Risk Assessment Partnership
Power Plant Water Risk and Adaptive Measures Database

Project objective was  to understand water-related constraints affecting conventional powerplant operations, specifically coal-fired power plants. Of concern were threats related to drought and flood affecting both water supply and ability of plant to discharge wastewater. Also of interest were adaptive measures taken to mitigate identified threats. This spreadsheet contains the responses provided by the power plant operators and owners. Data have been "sanitized" (e.g., random plant ID, binned location and generation capacity information) to ensure anonymity of individual power plants.

Tags: Adaptive Measures, Coal, Drought, Energy-Water, Flood
Carbonaceous Chemistry for Computational Modeling (C3M)

C3M is a chemistry management software focused on computational modeling of reacting systems. The primary function of C3M is to provide direct links between reliable sources of kinetic information (kinetic modeling software, databases, and literature) and commonly used CFD software such as MFIX, FLUENT, and BARRACUDA with minimal effort from the user.

Tags: ACD, American Coal Data, Barracuda, C3M, CFD, CFD Modeling, FLUENT, MFIX
Danielson_Well_33-17_EBook.pdf

A collection of the primary documents associated with the drilling, completion and testing of the Kevin Dome Carbon Sequestration Project's Danielson 33-17 well.

Tags: BSCSP, Big Sky Carbon Sequestration Partnership, Core Analysis, Danielson 33-17, Production Tests, Well Completion, Well Drilling, Well Logs, Well Permitting, Well Testing
SimCCS

SimCCS is a software platform for carbon capture and storage (CCS) infrastructure design. SimCCS is an economic-engineering software tool for making integrated CCS infrastructure decisions.  Using user-provided regional source, sink, and transportation data, SimCCS creates candidate transportation routes and formalizes an optimization problem that determines the most cost-effective CCS system design. 
SimCCS is freely available through a public GitHub repository (Yaw et al., 2018). This repository includes source code for users that wish to directly modify SimCCS2.0, as well as a packaged executable version (jar file) for users that do not wish to compile code on their own. The data from the sample dataset is included to provide a fully functional example and representative file formats.

This software has been authored by an employee or employees of Los Alamos National Security, LLC, operator of the Los Alamos National Laboratory (LANL) under Contract No. DE-AC52-06NA25396 with the U.S. Department of Energy. The U.S. Government has rights to use, reproduce, and distribute this software. The public may copy, distribute, prepare derivative works and publicly display this software without charge, provided that this Notice and any statement of authorship are reproduced on all copies. Neither the Government nor LANS makes any warranty, express or implied, or assumes any liability or responsibility for the use of this software. If software is modified to produce derivative works, such modified software should be clearly marked, so as not to confuse it with the version available from LANL.

Tags: CCS, Carbon Capture, Carbon Capture Utilization and Storage, Carbon Capture and Storage, Github, Los Alamos National Laboratory, Modeling, SimC
Carbon Dioxide Removal Law

From the website:
The Carbon Dioxide Removal Law (CDRL) "site is an annotated bibliography of legal materials pertaining to carbon dioxide removal, and to utilization and storage of carbon dioxide. Sources are listed under the technical pathway(s) to which they are relevant; many sources appear more than once because they are relevant to more than one pathway.
 
The site was created by the Sabin Center for Climate Change Law at Columbia Law School, in cooperation with the Carbon Management Research Initiative of the Center for Global Energy Policy at the Columbia School of International and Public Affairs and the Institute for Carbon Removal Law and Policy at American University. Generous financial support was provided by the ClimateWorks Foundation and the Columbia Earth Institute."

Tags: Annotated Biblography, Carbon, Carbon dioxide, Dioxide, law
FutureGen 2.0 Technical Data

This is a comprehensive collection of all original surface and subsurface technical data, as well as various derivative subsurface models, collected from the FutureGen 2.0 project. This collection of data has been vetted for confidential or sensitive documents.

Tags: CCUS, FutureGen 2.0, Geomechanical, Geophysical, Geospatial, Gravity, Mt. Simon, National Risk Assessment Partnership, Structural, Subsurface, Thermal Conductivity, VSP, Well Log, XRF, core, eau claire, ecological, fga-1, fga-2, injection, model, monitoring, nrap, packer, pressure, reservoir, seismic, surface, usdw
Fossil Energy Workshop on Quantum Information Science & Technology Summary Report

This report summarizes findings and discussion from the Fossil Energy Workshop on Quantum Information Science & Technology which took place on November 19-21, 2019. 
Quantum Information Science (QIS) is expected to profoundly change the practice of science and engineering in the coming decades. It is a rapidly progressing field, fueled by large investments from the private sector and governments. Its importance to the U.S. economy and national security is underscored by the National Quantum Initiative
Act passed in December 2018[1]. QIS includes quantum sensing, quantum communications, quantum simulation experiments, and quantum computation. QIS technology  exploits quantum phenomena for performing tasks that are impossible to do today, such as finding prime factors of large numbers or elucidating reaction mechanisms in
complex chemical systems. 

The opportunities for applying QIS to problems encountered in fossil energy technology development are not known today. This workshop brought together, for the first time, experts in these fields to exchange information and explore potential research opportunities for QIS to advance fossil energy. The goal of the workshop was to develop a
set of priority research opportunities that can inform future research efforts in QIS and build a community of next-generation researchers at the intersection of QIS and fossil energy.

Tags: Fossil Energy, quantum, quantum information science
Fracture Shearing in the Eau Claire Formation

This data set consists of Computed Tomographic (CT) data for five sheared Eau Claire Formation core samples with complex and heterogeneous lithology. Each sample was prefractured, housed in a specially adapted core holder, and sheared in incremental fashion. CT scans were taken before and after each shearing event. 

Tags: Computed Tomography, Eau Claire Shale, Geologic Carbon Storage, fractured seal
NATCARB Atlas Coal Basins 10km Grid

This is the NATCARB Atlas 10km square grids covering coal basins within all Regional Carbon Sequestration Partnership (RCSP) domains in the US and parts of Canada. Each 10km grid contains information about the coal basin formation below. Attributes associated with each 10km grid are (with (Units, Attribute name) after): Partnership name (PARTNERSHIP), Resource/formation name (RESOURCE_Name), Resource area (square meters, RSC_AREA_C ), CO2 capacity estimate volumes (in metric tons per feature): vol_low (P10), vol_med (P50), and vol_high (P90) (based on Goodman et al. 2011), Depth to top of formation from surface - reported as "0" for all, meaning not reported (feet, depth_ft), Formation mean thickness (feet, thickness_), Assessed (1= yes, 0= volume estimates not made)

Layer should be used in ArcGIS to view. All attributes for the layer and units are described above.

Please note: not all grids have been assessed for storage estimates. For the grids that have been assessed, please refer to Goodman et al. 2011 "U.S. DOE methodology for the development of geologic storage potential for carbon dioxide at the national and regional scale" https://doi.org/10.1016/j.ijggc.2011.03.010

This layer is associated with the NATCARB Atlas: Bauer, J., Rowan, C., Barkhurst A., Digiulio J., Jones K., Sabbatino M., Rose K., Wingo P. Natcarb, 2018-09-27, https://edx.netl.doe.gov/dataset/natcarb, DOI: 10.18141/1474110 

Tags: CO2, Carbon Storage, Geologic Carbon Storage, NATCARB, basin, coal
HFTS-1 Phase 1 Individual Well Files

This folder contains individual well files for 14 wells utilized in the project.  The individual well files include well data such as drilling, completions, open and cased hole electric logs, core analysis results, DFIT data and results, PVT analysis, and other well files.

Tags: Completion, Core, DFIT, Drilling Report, FIB SEM, Image Log, Individual Well Files, NMR, Nuclear Resonance, PVT, Permeability, Petrography, Pressurized Core, Sonic, Sonic Log, Sonic log, Thin Sections, Triaxial Compressive tests, core analysis, core photos, core pictures, microseismic, petrophysics, well data
STOMP - Subsurface Transport Over Multiple Phases

STOMP (Subsurface Transport Over Multiple Phases) is a continuum-scale simulator developed by Pacific Northwest National Laboratory. STOMP is used to simulate subsurface flow and transport and complements other analytical capabilities developed by PNNL's Hydrology Group. The simulator was specifically designed to provide scientists and engineers from varied disciplines with multidimensional analysis capabilities for modeling subsurface flow and transport phenomena. STOMP's target capabilities were guided by proposed or applied remediation activities at sites contaminated with volatile organic compounds and/or radioactive material. Developed with the support of the U.S. Department of Energy, Office of Environmental Restoration and Waste Management, the simulator's modeling capabilities address a variety of subsurface environments, including nonisothermal conditions, fractured media, multiple-phase systems, nonwetting fluid entrapment, soil freezing conditions, nonaqueous phase liquids, first-order chemical reactions, radioactive decay, solute transport, dense brines, nonequilibrium dissolution, and surfactant-enhanced dissolution and mobilization of organics. Available at: https://stomp.pnnl.gov/

Tags: Carbon Sequestration, Geologic Model, Geologic Modeling, NRAP, PNNL, STOMP, STOMP-CO 2, Subsurface, Subsurface Modeling, computer model
NUFT-C: A Reactive Transport Simulator for Multi-Phase Fluid Movement in Porous Media

NUFT-C (Nonisothermal, Unsaturated Flow and Transport with Chemistry) is a continuum-scale simulator developed by Lawrence Livermore National Laboratory. NUFT-C is used to simulate coupled fluid movement (multiple liquids and gas) and chemical reactions in saturated or unsaturated porous media.

Tags: Nonisothermal, Unsaturated flow, chemical, chemical reactions, fluid, fluid movement, gas, liquid, liquids, movement, saturated flow, transport
Finite Element Heat and Mass Transfer Code

FEHM (Finite Element Heat and Mass Transfer Code) is a continuum-scale simulator developed by Los Alamos National Laboratory. FEHM is used to simulate groundwater and contaminant flow and transport in deep and shallow, fractured and un-fractured porous media.

Tags: Groundwater, Simulation, Subsurface, contaminant, contaminant flow, flow porous, porous, porous media, transport
WV Water Quality Impact Portal

The objective of the West Virginia Water Quality Impact Portal [WVWQIP] is to provide information about past and current water quality in the 14 counties where most of the active Marcellus Shale gas development has taken place. Within the WVWQIP you will find:

  • Water quality data for over 1.3 million samples from 4,953 unique
    sampling locations aggregated from local, state, and federal organizations
  • Map viewer that allows for quick visualization of monthly mean water
    quality trends
  • Graphs to visualize temporal water quality trends

Tags: GIS, WV, geospatial, impact, map, marcellus, quality, water
Experimental Data for the Publication by Lu et al. "Observations of Breakage for Transverse  Isotropic Shale Using Acoustic Emission and X-Ray CT"

Computed Tomography and Acoustic Emission Data used in the publication "Observations of Breakage for Transverse  Isotropic Shale Using Acoustic Emission and X-Ray Computed Tomography: Effect of Bedding, Orientation, Pre-Existing Weakness, and pore water" by Guanyi Lu, Dustin Crandall, and Andrew P. Bunger

Tags: Acoustic emission, Computed Tomography, Geomechanics, Marcellus Shale
Kimberlina Closed System Reservoir Simulation

The reservoir-scale CO2 migration model was developed based on a geological study in the Southern San Joaquin Basin, California, using the geologic and hydrogeologic data obtained from many oil fields in that region (Birkholzer et al., 2011; Zhou et al., 2011; Zhou and Birkholzer, 2011). The model was then improved by having more layers in the Vedder Formation (the injection layer) in Wainwright et al. (2013). The domain includes twelve discontinuous or continuous (stacked) formations, extending 84 km in the eastern direction and 112 km in the northern direction. The domain also includes several faults, which are considered to be semi-impermeable sealing faults at large depth.  Please see ReadMe fore more details on this submission. 

Tags: CO2, Characterization of Geologic Sequestration, Kimberlina, NRAP, Reservoir, Simulation, TOUGH, TOUGH-MP, Vedder, Vedder Sand, Vedder sandstone, Vedder shale, hydrogeologic
Image Based Fluid Saturation Calculator

Python script to calculate the fluid saturation of a 2-phase flow system within a rock matrix using 3D computed tomography (CT) scans. The script is designed to calculate the saturation over a series of scans. Outputs include a graphical representation of saturation as a function of scan series and a CSV with the same data.
Saturation is calculated using the methodology described by Krevor et al. (2012). In this methodology, the CT number of the CO2SAT, BrineSAT, which are scans containing only CO2 and brine respectively in the pore spaces (furthermore referred to as end members) and the intermediate biphasic scans (CO2X) are used to calculate saturation in each voxel of the core during scCO2 injection (Equation 4) as follows:

The first step prior to running the python script is to create a mask, or region of interest, that removes extraneous image data such as the core sleeve, confining fluid, and core holder from any calculation. This is done by applying a zero value to all volume outside of the mask region and a value of 1 to all values inside of the mask volume. The mask creation was done in ImageJ and created to the same dimensions as the images of interest (Figure 6). The experimental images and mask image files are then imported into Python using Scikit-image(van der Walt et al. 2014) and subsequently converted into 64-bit arrays. The mask is then multiplied by the experimental image arrays to remove extraneous data by converting all outside volume to zero. These zero values are then converted to not-a-number (NaN) values; this removes these pixel values from inclusion in further calculations. The image arrays are then used in Equation 3 and the result exported as tabular saturation data.

Krevor, Samuel C.M., Ronny Pini, Lin Zuo, and Sally M. Benson. 2012. “Relative Permeability and Trapping of CO 2 and Water in Sandstone Rocks at Reservoir Conditions.” Water Resources Research 48 (2). https://doi.org/10.1029/2011WR010859

Van Der Walt, S., Schönberger, J. L., Nunez-Iglesias, J., Boulogne, F., Warner, J. D., Yager, N., et al. (2014). Scikit-image: Image processing in python. PeerJ, 2014(1), e453. https://doi.org/10.7717/peerj.453

Tags: CO2 Saturation, Computed Tomography, Image Analysis, Python Script, Relative Permeability
EGOM Isocore Tertiary Section

Isocore (total thickness) grids (long/lat/Z) in the Tertiary section in the Eastern Gulf of Mexico. Generated by the Geological Survey of Alabama, with IHS Petra (v. 3.11.1.14) geologic interpretation software,  using highly connected features (least squares) and smoothing contours with grid flexing.

Resources included are:

-  TERT_ISO.XYZ - Total Thickness (isocore / isopach) in feet for entire Tertiary section
-  UP_TERT_ISO.XYZ - Total Thickness (isocore / isopach) in feet for "upper Tertiary" Miocene through middle Eocene marker (Miocene undiff, Oligocene undiff, and Upper Eocene/Jackson Group (note Tmu is either the top of Miocene undiff and/or min depth 2500' BSL)
-  LOW_TERT_ISO.XYZ - Total Thickness (isocore / isopach) in feet for "lower Tertiary" middle Eocene marker through Selma Group (Lower Eocene/Claibrone Group, Wilcox Group, Midway Group, and Clayton Formation

XYZ is long/lat/Z where long/lat is WGS84 and Z is in feet.

This material is based upon work supported by the U.S. Department of Energy National Energy Technology Laboratory (DE-FE0026086). Cost share and research support are provided by the Project Partners and an Advisory Committee.

Tags: CCUS, Eocene, Miocene, SOSRA, Tertiary, isocore