9 datasets found
  1. University of Illinois Campus Deep Direct-Use Feasibility Study - Geology...

    • gdr.openei.org
    • data.openei.org
    • +2more
    Updated Apr 16, 2018
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    W. John Nelson; W. John Nelson (2018). University of Illinois Campus Deep Direct-Use Feasibility Study - Geology Log and Drilling Prospectus [Dataset]. https://gdr.openei.org/submissions/1004
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    Dataset updated
    Apr 16, 2018
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Office of Energy Efficiency and Renewable Energyhttp://energy.gov/eere
    Geothermal Data Repository
    University of Illinois
    Authors
    W. John Nelson; W. John Nelson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Illinois
    Description

    Geology log and drilling prospectus for University of Illinois at Urbana-Champaign (UIUC) Energy Farm.

  2. d

    ScienceBase Item Summary Page

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    ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/03240b48b61342d58e4ba28ff67b11bb/html
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    Description

    Well Record at Illinois State Geological Survey Type: Water Well Depth: 165

  3. U

    Digital database of structure contour and isopach maps of multiple...

    • data.usgs.gov
    • datasets.ai
    • +1more
    Updated Aug 17, 2023
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    Leland Spangler; Donald Sweetkind (2023). Digital database of structure contour and isopach maps of multiple subsurface units, Michigan and Illinois Basins, USA [Dataset]. http://doi.org/10.5066/P9J92672
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    Dataset updated
    Aug 17, 2023
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Leland Spangler; Donald Sweetkind
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    1988 - 2023
    Area covered
    United States, Michigan, Illinois
    Description

    This digital data release presents contour data from multiple subsurface geologic horizons as presented in previously published summaries of the regional subsurface configuration of the Michigan and Illinois Basins. The original maps that served as the source of the digital data within this geodatabase are from the Geological Society of America’s Decade of North American Geology project series, “The Geology of North America” volume D-2, chapter 13 “The Michigan Basin” and chapter 14 “Illinois Basin Region”. Contour maps in the original published chapters were generated from geophysical well logs (generally gamma-ray) and adapted from previously published contour maps. The published contour maps illustrated the distribution sedimentary strata within the Illinois and Michigan Basin in the context of the broad 1st order supercycles of L.L. Sloss including the Sauk, Tippecanoe, Kaskaskia, Absaroka, Zuni, and Tejas supersequences. Because these maps represent time-transgressive surfa ...

  4. w

    Data from: CORING AND LOGGING OF ECSP ILLINOIS NO. 5 WELL WAYNE COUNTY,...

    • data.wu.ac.at
    Updated Sep 29, 2016
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    (2016). CORING AND LOGGING OF ECSP ILLINOIS NO. 5 WELL WAYNE COUNTY, ILLINOIS [Dataset]. https://data.wu.ac.at/odso/edx_netl_doe_gov/YzJlNWY5NGEtODA4Mi00ZDAyLTljZTYtZjFjOGU2Njk4ZWJh
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    Dataset updated
    Sep 29, 2016
    Area covered
    Wayne County, Illinois
    Description

    The Eastern Gas Shales Project Illinois No. 5 well (Gordon T. Jenkins/Gruy Federal Simpson No.1) is located in southern Wayne County, Illinois. The site lies within the Fairfield sub-basin of the central part of the Illinois Basin.

  5. d

    ScienceBase Item Summary Page

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    ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/2d7af02e2fe94a09bcd64e06af95d30a/html
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    Area covered
    Description

    Well Record at Illinois State Geological Survey Type: Engineering Test Depth: 13

  6. G

    Geocellular Model of Mt. Simon Sandstone for University of Illinois at...

    • gdr.openei.org
    • data.openei.org
    • +3more
    archive, data
    Updated Dec 31, 2018
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    James Damico; James Damico (2018). Geocellular Model of Mt. Simon Sandstone for University of Illinois at Urbana-Champaign DDU feasibility study [Dataset]. http://doi.org/10.15121/1495417
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    archive, dataAvailable download formats
    Dataset updated
    Dec 31, 2018
    Dataset provided by
    Geothermal Data Repository
    University of Illinois
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    Authors
    James Damico; James Damico
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Urbana
    Description

    The geocellular model of the Mt. Simon Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 km by 9.7 km (6 miles by 6 miles) to ensure that the model enclosed a large enough volume so that the cones of depression of both the production and injection wells would not interact with each other, while at the same time minimizing the number of cells to model to reduce computational time. The grid-cell size was set to 61.0 m by 61.0 m (200 feet by 200 feet) for 160 nodes in the X and Y directions. Within the model, 67 layers are represented that are parameterized with their sediment/rock properties and petrophysical data.

    The top surface of the Mt. Simon Sandstone was provided by geologists working on the project, and the average thickness of the formation was taken from the geologic prospectus they provided. An average thickness of 762 m (2500 feet) was used for the Mt. Simon Sandstone, resulting in 60 layers for the model. Petrophysical data was taken from available rotary sidewall core data (Morrow et al., 2017). As geothermal properties (thermal conductivity, specific heat capacity) are closely related to mineralogy, specifically the percentage of quartz, available mineralogical data was assembled and used with published data of geothermal values to determine these properties (Waples and Waples, 2004; Robertson, 1988). The Mt. Simon Sandstone was divided into three separate units (lower, middle, upper) according to similar geothermal and petrophysical properties, and distributed according to available geophysical log data and prevailing interpretations of the depositional/diagenetic history (Freiburg et al. 2016). Petrophysical and geothermal properties were distributed through geostatistical means according to the associated distributions for each lithofacies. The formation temperature was calculated, based on data from continuous temperature geophysical log from a deep well drilled into the Precambrian basement at the nearby Illinois Basin Decatur Project (IBDP) where CO2 is currently being sequestered (Schlumberger, 2012). Salinity values used in the model were taken from regional studies of brine chemistry in the Mt. Simon Sandstone, including for the IBDP (e.g., Panno et al. 2018). After being reviewed by the project's geologists, the model was then passed onto the geological engineers to begin simulations of the geothermal reservoir and wellbores.

  7. w

    University of Illinois Campus Deep Direct-Use Feasibility Study - Subsurface...

    • data.wu.ac.at
    pdf
    Updated Jul 13, 2018
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    HarvestMaster (2018). University of Illinois Campus Deep Direct-Use Feasibility Study - Subsurface Temperature Profile Deep Well Monitoring and Veritification at the Illinois Basin Decatur Project [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/OTYwYjg0ZDUtNTQ5NC00OGY5LTlmNjMtOTljN2I2OTViM2Q1
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    pdfAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset provided by
    HarvestMaster
    Area covered
    Decatur, Illinois, ac21c813a30e9378065aed3de5979f780dc7966c
    Description

    High resolution fiber-optic distributed temperature sensing logs from the Illinois Basin Decatur Project (IBDP) in Decatur, IL were used to model the thermal profile in the Illinois Basin. Summary of research undertaken at Illinois Basin - Decatur Project, which includes distributed temperature sensing (DTS) logs of well CCS#1 pre- and post-injection (Slide 12).

  8. G

    Geocellular model of St. Peter Sandstone for University of Illinois at...

    • gdr.openei.org
    • data.openei.org
    • +3more
    archive, data +2
    Updated Dec 31, 2018
    + more versions
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    James Damico; James Damico (2018). Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study [Dataset]. http://doi.org/10.15121/1495414
    Explore at:
    archive, data, text_document, websiteAvailable download formats
    Dataset updated
    Dec 31, 2018
    Dataset provided by
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    Geothermal Data Repository
    University of Illinois
    Authors
    James Damico; James Damico
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Urbana, Illinois
    Description

    The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 km by 9.7 km (6 miles by 6 miles) to ensure that the model enclosed a large enough volume so that the cones of depression of both the production and injection wells would not interact with each other, while at the same time minimizing the number of cells to model to reduce computational time. The grid-cell size was set to 61.0 m by 61.0 m (200 feet by 200 feet) for 160 nodes in the X and Y directions.

    The top surface of the St. Peter Sandstone was provided by geologists working on the project, and the average thickness of the formation was taken from the geologic prospectus they provided. An average thickness of 68.6 m (225 feet) was used for the St. Peter Sandstone, resulting in 45 layers for the model. Petrophysical data was taken from available rotary sidewall core data (Morrow et al., 2017). As geothermal properties (thermal conductivity, specific heat capacity) are closely related to mineralogy, specifically the percentage of quartz, available mineralogical data was assembled and used with published data of geothermal values to determine these properties (Waples and Waples, 2004; Robertson, 1988). The St. Peter Sandstone was divided into facies according to similar geothermal and petrophysical properties, and distributed according to available geophysical log data and prevailing interpretations of the depositional/diagenetic history (Will et al. 2014). Petrophysical and geothermal properties were distributed through geostatistical means according to the associated distributions for each lithofacies. The formation temperature was calculated, based on data from continuous temperature geophysical log from a deep well drilled into the Precambrian basement at the nearby Illinois Basin Decatur Project (IBDP) where CO2 is currently being sequestered (Schlumberger, 2012). Salinity values used in the model were taken from regional studies of brine chemistry in the St. Peter Sandstone, including for the IBDP (e.g., Panno et al. 2018). After being reviewed by the project's geologists, the model was then passed onto the geological engineers to begin simulations of the geothermal reservoir and wellbores.

  9. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/78f6675d7a3249a9a3c9422ecc5d3210/html
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    Area covered
    Description

    Well Record at Illinois State Geological Survey Type: Dry Hole (water well) Depth: 326

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W. John Nelson; W. John Nelson (2018). University of Illinois Campus Deep Direct-Use Feasibility Study - Geology Log and Drilling Prospectus [Dataset]. https://gdr.openei.org/submissions/1004
Organization logo

University of Illinois Campus Deep Direct-Use Feasibility Study - Geology Log and Drilling Prospectus

Explore at:
Dataset updated
Apr 16, 2018
Dataset provided by
United States Department of Energyhttp://energy.gov/
Office of Energy Efficiency and Renewable Energyhttp://energy.gov/eere
Geothermal Data Repository
University of Illinois
Authors
W. John Nelson; W. John Nelson
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Illinois
Description

Geology log and drilling prospectus for University of Illinois at Urbana-Champaign (UIUC) Energy Farm.

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