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Title: GPFA-AB_Phase1GeologicReservoirsContentModel10_26_2015.xls

This dataset conforms to the Tier 3 Content Model for Geologic Reservoirs Version 1.0. It contains the known hydrocarbon reservoirs within the study area of the GPFA-AB Phase 1 Task 2, Natural Reservoirs Quality Analysis (Project DE-EE0006726). 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 to the Geothermal Data Repository Node of the NGDS in October of 2015.
Authors:
Publication Date:
Report Number(s):
561
DOE Contract Number:
EE0006726
Product Type:
Dataset
Research Org(s):
DOE Geothermal Data Repository; Cornell University
Collaborations:
Cornell University
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Subject:
15 Geothermal Energy; 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
OSTI Identifier:
1224910

Teresa E. Jordan. GPFA-AB_Phase1GeologicReservoirsContentModel10_26_2015.xls. United States: N. p., Web. doi:10.15121/1224910.
Teresa E. Jordan. GPFA-AB_Phase1GeologicReservoirsContentModel10_26_2015.xls. United States. doi:10.15121/1224910.
Teresa E. Jordan. 2015. "GPFA-AB_Phase1GeologicReservoirsContentModel10_26_2015.xls". United States. doi:10.15121/1224910. https://www.osti.gov/servlets/purl/1224910.
@misc{osti_1224910,
title = {GPFA-AB_Phase1GeologicReservoirsContentModel10_26_2015.xls},
author = {Teresa E. Jordan},
abstractNote = {This dataset conforms to the Tier 3 Content Model for Geologic Reservoirs Version 1.0. It contains the known hydrocarbon reservoirs within the study area of the GPFA-AB Phase 1 Task 2, Natural Reservoirs Quality Analysis (Project DE-EE0006726). 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 to the Geothermal Data Repository Node of the NGDS in October of 2015.},
doi = {10.15121/1224910},
year = {2015},
month = {9} }
  1. The Geothermal Data Repository (GDR) is the submission point for all data collected from researchers funded by the U.S. Department of Energy's Geothermal Technologies Office (DOE GTO). The DOE GTO is providing access to its geothermal project information through the GDR. The GDR is powered by OpenEI, an energy information portal sponsored by the U.S. Department of Energy and developed by the National Renewable Energy Laboratory (NREL).
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