Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin
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 (in terms of coefficient of variation, CV) are included. RPI is in units of liters per MegaPascal-second (L/MPa-s), quantified using permeability, thickness of formation, and depth. A higher RPI is more optimal. Coefficient of Variation (CV) is the ratio of the standard deviation to the mean RPI for each reservoir. A lower CV is more optimal. Details on these metrics can be found in the Reservoirs_Methodology_Memo.pdf uploaded in the associated "Natural Reservoir Analysis" dataset linked below.
Citation Formats
Cornell University. (2015). Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin [data set]. Retrieved from https://dx.doi.org/10.15121/1224910.
E., Teresa. Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. United States: N.p., 30 Sep, 2015. Web. doi: 10.15121/1224910.
E., Teresa. Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. United States. https://dx.doi.org/10.15121/1224910
E., Teresa. 2015. "Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin". United States. https://dx.doi.org/10.15121/1224910. https://gdr.openei.org/submissions/561.
@div{oedi_3365, title = {Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin}, author = {E., Teresa.}, abstractNote = {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 (in terms of coefficient of variation, CV) are included. RPI is in units of liters per MegaPascal-second (L/MPa-s), quantified using permeability, thickness of formation, and depth. A higher RPI is more optimal. Coefficient of Variation (CV) is the ratio of the standard deviation to the mean RPI for each reservoir. A lower CV is more optimal. Details on these metrics can be found in the Reservoirs_Methodology_Memo.pdf uploaded in the associated "Natural Reservoir Analysis" dataset linked below. }, doi = {10.15121/1224910}, url = {https://gdr.openei.org/submissions/561}, journal = {}, number = , volume = , place = {United States}, year = {2015}, month = {09}}
https://dx.doi.org/10.15121/1224910
Details
Data from Sep 30, 2015
Last updated Sep 15, 2023
Submitted Oct 26, 2015
Organization
Cornell University
Contact
Teresa E. Jordan
607.255.3596
Authors
Original Source
https://gdr.openei.org/submissions/561Research Areas
Keywords
geothermal, Appalachian Basin, New York, Pennsylvania, West Virginia, reservoir, productivity, Reservoir Productivity Index, RPI, GPFA-AB, Geothermal Play Fairway Analysis, district heating, deep direct use, low-temperature, Pennslyvania, Geologic Reservoirs, porosity, permeability, favorability, PFA, content model, NGDS Content Model, USGIN Content Model, AASG Geothermal Data, Geologic Reservoir, eastern, USA, east, characterization, natural, resource, low temperature, geology, uncertaintyDOE Project Details
Project Name Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin
Project Lead Holly Thomas
Project Number EE0006726