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
TY - DATA
AB - 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.
AU - E., Teresa
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1224910
KW - geothermal
KW - Appalachian Basin
KW - New York
KW - Pennsylvania
KW - West Virginia
KW - reservoir
KW - productivity
KW - Reservoir Productivity Index
KW - RPI
KW - GPFA-AB
KW - Geothermal Play Fairway Analysis
KW - district heating
KW - deep direct use
KW - low-temperature
KW - Pennslyvania
KW - Geologic Reservoirs
KW - porosity
KW - permeability
KW - favorability
KW - PFA
KW - content model
KW - NGDS Content Model
KW - USGIN Content Model
KW - AASG Geothermal Data
KW - Geologic Reservoir
KW - eastern
KW - USA
KW - east
KW - characterization
KW - natural
KW - resource
KW - low temperature
KW - geology
KW - uncertainty
LA - English
DA - 2015/09/30
PY - 2015
PB - Cornell University
T1 - Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin
UR - https://doi.org/10.15121/1224910
ER -
E., Teresa. Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. Cornell University, 30 September, 2015, Geothermal Data Repository. https://doi.org/10.15121/1224910.
E., T. (2015). Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. [Data set]. Geothermal Data Repository. Cornell University. https://doi.org/10.15121/1224910
E., Teresa. Geologic Reservoir Content Model from Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. Cornell University, September, 30, 2015. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1224910
@misc{GDR_Dataset_561,
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. },
url = {https://gdr.openei.org/submissions/561},
year = {2015},
howpublished = {Geothermal Data Repository, Cornell University, https://doi.org/10.15121/1224910},
note = {Accessed: 2025-05-07},
doi = {10.15121/1224910}
}
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
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
