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.
0_Readme for Effective porosity EPOR data .csv files.docx
31011161200000_EPOR0_1.csv
31011161200000_EPOR12_3.csv
31011161200000_EPOR6_2.csv
31099204460000_EPOR0_1.csv
31099204460000_EPOR12_3.csv
31099204460000_EPOR6_2.csv
31101216240000_EPOR0_1.csv
31101216240000_EPOR12_3.csv
31101216240000_EPOR6_2.csv
31109227670000_EPOR0_1.csv
31109227670000_EPOR12_3.csv
31109227670000_EPOR6_2.csv
31109227890000_EPOR0_1.csv
31109227890000_EPOR12_3.csv
31109227890000_EPOR6_2.csv
31109229980000_EPOR0_1.csv
31109229980000_EPOR12_3.csv
31109229980000_EPOR6_2.csv
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
Brine composition density compilation.xlsx
ESH well tops ESH for reservoir property analyses.xlsx
ESH well tops to estimate Cornell tops.xlsx
Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
Subsurface reservoir properties Metadata.docx
Wells used for porosity density log data simple.xlsx
Citation Formats
Cornell University. (2019). Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy [data set]. Retrieved from https://dx.doi.org/10.15121/1632872.
Jordan, Teresa, Smith, Jared, and Al Aswad, Jood. Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy. United States: N.p., 27 Oct, 2019. Web. doi: 10.15121/1632872.
Jordan, Teresa, Smith, Jared, & Al Aswad, Jood. Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy. United States. https://dx.doi.org/10.15121/1632872
Jordan, Teresa, Smith, Jared, and Al Aswad, Jood. 2019. "Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy". United States. https://dx.doi.org/10.15121/1632872. https://gdr.openei.org/submissions/1181.
@div{oedi_7315, title = {Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy}, author = {Jordan, Teresa, Smith, Jared, and Al Aswad, Jood.}, abstractNote = {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.}, doi = {10.15121/1632872}, url = {https://gdr.openei.org/submissions/1181}, journal = {}, number = , volume = , place = {United States}, year = {2019}, month = {10}}
https://dx.doi.org/10.15121/1632872
Details
Data from Oct 27, 2019
Last updated Nov 1, 2022
Submitted Nov 6, 2019
Organization
Cornell University
Contact
Authors
Original Source
https://gdr.openei.org/submissions/1181Research Areas
Keywords
geothermal, energy, Cornell University, low-temperature geothermal, reservoir simulation, uncertainty analysis, district heating, direct use, Appalachian Basin, New York State, techno-economic analysis, levelized cost of heat LCOH, externality values, environmental value, economic value, DDU, EA, environment, environmental, assessment, temperature, LCOH, levelized cost of heat, effective porosity, heat pump, ghp, well data, characterization, shale neutron porosity, CornellDOE Project Details
Project Name EARTH SOURCE HEAT: A CASCADED SYSTEMS APPROACH TO DDU OF GEOTHERMAL ENERGY ON THE CORNELL CAMPUS
Project Lead Arlene Anderson
Project Number EE0008103
