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This data set includes wireline geophysical data from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 and to...
This dataset provides information gathered to determine end use load and assessment of existing district heating systems (DHS). It also provides Aspen simulation files used to model hybrid natural gas geothermal district heating and cooling (GDHC) system along with Exchange Design...
This dataset contains the known hydrocarbon reservoirs within the study area of the Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB) as part of Phase 1, Natural Reservoirs Quality Analysis. The final values for Reservoir Productivity Index (RPI) and uncertainty...
This data set includes sidewall core data from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 and total dep...
Tier 3 data for Appalachian Basin sectors of New York, Pennsylvania and West Virginia used in a Geothermal Play Fairway Analysis of opportunities for low-temperature direct-use applications of heat. It accompanies data and materials submitted as Geothermal Data Repository Submissi...
This data set includes wireline geophysical data from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 and to...
This data set includes drill rig drilling parameters from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 an...
The files included in this submission contain all data pertinent to the methods and results of this task's output, which is a cohesive multi-state map of all known potential geothermal reservoirs in our region, ranked by their potential favorability. Favorability is quantified usi...
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. Th...
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.
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