Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
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|
| contactPoint |
{
"fn": "Teresa Jordan",
"@type": "vcard:Contact",
"hasEmail": "mailto:tej1@cornell.edu"
}
|
| dataQuality |
true
|
| description | This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs. |
| distribution |
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"@type": "dcat:Distribution",
"title": "31011161200000_EPOR0_1.csv",
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"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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{
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"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
},
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"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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{
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File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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"title": "31109227670000_EPOR0_1.csv",
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"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
},
{
"@type": "dcat:Distribution",
"title": "31109227670000_EPOR6_2.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1181/31109227670000_EPOR6_2.csv",
"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
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"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
},
{
"@type": "dcat:Distribution",
"title": "31109227890000_EPOR12_3.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1181/31109227890000_EPOR12_3.csv",
"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
},
{
"@type": "dcat:Distribution",
"title": "31109227890000_EPOR6_2.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1181/31109227890000_EPOR6_2.csv",
"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
},
{
"@type": "dcat:Distribution",
"title": "31109229980000_EPOR0_1.csv",
"format": "csv",
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"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
},
{
"@type": "dcat:Distribution",
"title": "31109229980000_EPOR12_3.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1181/31109229980000_EPOR12_3.csv",
"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
},
{
"@type": "dcat:Distribution",
"title": "31109229980000_EPOR6_2.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1181/31109229980000_EPOR6_2.csv",
"mediaType": "text/csv",
"description": "One among set of .csv files for effective porosity data, in total for 6 wells and for three plausible choices of shale porosity, used for reservoir model.
File naming schemes, data labels, and additional information are provided in accompanying resource: "ReadMe file for effective porosity data .csv files.docx"."
},
{
"@type": "dcat:Distribution",
"title": "ESH well tops ESH for reservoir property analyses.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1181/ESH%20well%20tops%20ESH%20for%20reservoir%20property%20analyses.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "This .xlsx file lists the unique API identifier numbers, names, and location coordinates (latitude/longitude) and surface measurement datum (feet above sea level) of the set of borehole accessed from the New York State “ESOGIS” database (Empire State Organized Geologic Information System, https://esogis.nysm.nysed.gov) that are used to estimate the depths of specific geological units whose properties are deemed important for simulating reservoir behavior. For each borehole, the file describes the depth to identified geological formations in successive order from shallow to deep parts of the borehole. For boreholes that deviated from vertical, both a drillers reported depth (MD, in feet) and a True Vertical Depth (TVD, in feet) are listed.
The units were identified as explained in Al Aswad (2019, Cornell thesis).
Al Aswad, J. A. A., 2019, A Stratigraphic and Petrophysical Study of In-situ Geothermal Reservoir Quality of the Cambro-Ordovician Strata in the Subsurface at Cornell University, Ithaca, New York: MS thesis, 172 p."
},
{
"@type": "dcat:Distribution",
"title": "ESH well tops to estimate Cornell tops.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1181/ESH%20well%20tops%20to%20estimate%20Cornell%20tops.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "This .xlsx file lists the unique API identifier numbers, names, and location coordinates (latitude/longitude) and surface measurement datum (feet above sea level) of the set of borehole accessed from the New York State “ESOGIS” database (Empire State Organized Geologic Information System, https://esogis.nysm.nysed.gov) that are used to estimate the depths below Cornell University, Ithaca, NY, at which specific geological units will be found. For each borehole, the file describes the depth to identified geological formations in successive order from shallow to deep parts of the borehole. For boreholes that deviated from vertical, both a drillers reported depth (MD, in feet) and a True Vertical Depth (TVD, in feet) are listed.
The units were identified as explained in Al Aswad (2019, Cornell thesis).
Reference: Al Aswad, J. A. A., 2019, A Stratigraphic and Petrophysical Study of In-situ Geothermal Reservoir Quality of the Cambro-Ordovician Strata in the Subsurface at Cornell University, Ithaca, New York: MS thesis, 172 p."
},
{
"@type": "dcat:Distribution",
"title": "0_Readme for Effective porosity EPOR data .csv files.docx",
"format": "docx",
"accessURL": "https://gdr.openei.org/files/1181/ReadMe_file_for_effective_porosity_data_csv_files.docx",
"mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
"description": "A ReadMe file describing the data content and structure of the set of .csv files for effective porosity data that are used for reservoir model."
},
{
"@type": "dcat:Distribution",
"title": "Subsurface reservoir properties Metadata.docx",
"format": "docx",
"accessURL": "https://gdr.openei.org/files/1181/Subsurface_reservoir_properties_Metadata.docx",
"mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
"description": "This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs. Also contained are the materials documenting assumptions, input, and output for the quantitative models of the performance of reservoir heat production."
},
{
"@type": "dcat:Distribution",
"title": "Brine composition density compilation.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1181/brine%20composition%20density%20compilation.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "This .xlsx file lists locations in New York State and Pennsylvania for which there exist published reports on the major element compositions of subsurface brines. "
},
{
"@type": "dcat:Distribution",
"title": "Wells used for porosity density log data simple.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1181/wells%20used%20for%20porosity%20density%20log%20data%20simple%20%281%29.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "This .xlsx file lists the unique API identifier numbers, names, and locations of the set of wells accessed from the New York State "ESOGIS" database (Empire State Organized Geologic Information System, https://esogis.nysm.nysed.gov) that are used to estimate the effective porosity in the targeted geological reservoirs. The file lists the distance of each well from the Cornell University campus in Ithaca, NY, and the deepest geological unit for which the well log data are available."
},
{
"@type": "dcat:Distribution",
"title": "Final Report - Earth Source Heat A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/1180",
"mediaType": "text/html",
"description": "The purpose of this document is to describe the contents contained within Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) that serves as the final report for the project "Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus".
Abstract: Cornell completed a comprehensive evaluation of the potential for Earth Source Heat (ESH), Cornell's specific application of Deep Direct Use (DDU) geothermal energy, to create viable heat energy for its Ithaca, NY campus district heating system. The study included assessment of the natural rock properties within and surrounding two potential reservoirs, coupled to the assessment of the thermal energy needs for a district heating system capable of supplying 20% of Cornell's building heating load. The feasibility and benefits of such a district heating system at the specific location of Cornell University's Ithaca, NY campus are evaluated from the perspectives of economic cost, environmental benefits, and economic benefits in the region external to Cornell University. The economic cost is expressed as the Levelized Cost of Heat, and comparison to the existing inexpensive fossil fuel system.
The submission includes descriptions of the assumptions, analyses, data, and models that were combined to reach conclusions regarding the feasibility of a Cornell Campus project.
A shortened, descriptive title for the project is "Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy."
"
},
{
"@type": "dcat:Distribution",
"title": "Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/1182",
"mediaType": "text/html",
"description": "This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the Geothermal Play Fairway Analysis of the Appalachian Basin (GPFA-AB) Thermal Quality Analysis (GDR repository 879: https://gdr.openei.org/submissions/879). This dataset improves upon the GPFA-AB dataset by considering several additional uncertainties in the temperature-at-depth calculations, including geologic properties and thermal properties. A Monte Carlo analysis of these uncertain properties and the GPFA-AB estimated surface heat flow was used to predict temperatures at depth using a 1-D heat conduction model. In this data submission, temperatures are provided for depths from 1-5 km in 0.5 km increments. The mean, standard deviation, and selected quantiles of temperatures at these depths are provided as shapefiles with attribute tables that contain the data. Rasters are provided for the mean and standard deviation data. Figures and maps that summarize the data are also provided. For the pixel corresponding to Cornell University, Ithaca, NY, a .csv file containing the 10,000 temperature-depth profiles estimated from the Monte Carlo analysis is provided. These data are summarized in a figure containing violin plots that illustrate the probability of obtaining certain temperatures at depths below Cornell."
},
{
"@type": "dcat:Distribution",
"title": "Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/1183",
"mediaType": "text/html",
"description": "This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. These potential reservoirs are the Trenton-Black River (TBR) from 2.27-2.3 km depth, and basement rocks from 3.0-3.5 km depth and 3.5-4.0 km depth. Several utilization scenarios consisting of different injection fluid temperatures and flow rates were evaluated for each reservoir. Uncertainty in geologic properties, thermal properties, economic costs, and utilization efficiencies were evaluated using a Monte Carlo analysis of the reservoir simulations. Some reservoir simulations of the TBR were completed using the TOUGH2 software, as implemented in PetraSIM. The PetraSIM run files and associated data are provided with this submission. All other reservoir simulations were completed using the GEOPHIRES software, with some modifications to complete the uncertainty analyses. ReadMe files that describe additions to GEOPHIRES, the GEOPHIRES input data, and the output data are all provided, and references are provided to the code repository. Figures that summarize the reservoir heat production, temperature drawdown, and the probability of meeting targeted building heating demands with the produced heat and fluid temperatures are provided."
}
]
|
| DOI | 10.15121/1632872 |
| identifier | https://data.openei.org/submissions/7315 |
| issued | 2019-10-27T06:00:00Z |
| keyword |
[
"Appalachian Basin",
"Cornell",
"Cornell University",
"DDU",
"EA",
"LCOH",
"New York State",
"assessment",
"characterization",
"direct use",
"district heating",
"economic value",
"effective porosity",
"energy",
"environment",
"environmental",
"environmental value",
"externality values",
"geothermal",
"ghp",
"heat pump",
"levelized cost of heat",
"levelized cost of heat LCOH",
"low-temperature geothermal",
"reservoir simulation",
"shale neutron porosity",
"techno-economic analysis",
"temperature",
"uncertainty analysis",
"well data"
]
|
| landingPage | https://gdr.openei.org/submissions/1181 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2022-11-01T15:58:29Z |
| programCode |
[
"019:006"
]
|
| projectLead | Arlene Anderson |
| projectNumber | EE0008103 |
| projectTitle | EARTH SOURCE HEAT: A CASCADED SYSTEMS APPROACH TO DDU OF GEOTHERMAL ENERGY ON THE CORNELL CAMPUS |
| publisher |
{
"name": "Cornell University",
"@type": "org:Organization"
}
|
| spatial |
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|
| title | Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy |
