Natural Sedimentary Reservoirs Data Geothermal Play Fairway Analysis 2016 Revision Natural Reservoir Analysis 2016 GPFA-AB

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 Submission "Natural Reservoir Analysis 2016 GPFA-AB" (linked below). Reservoir information are derived from oil and gas exploration and production data sets, or derived from those data based on further analysis. Data reported here encompass locations (horizontal and depth), geologic formation names, lithology, reservoir volume, porosity and permeability, and derived approximations of the quality of the reservoir.

These differ from the linked 2015 data submission in that this file presents data for New York that are comparable to those in the other two states. In contrast, the 2015 data available measured differing attributes across the state boundaries. Methods and results of a cohesive multi-state analysis of all known potential geothermal reservoirs in sedimentary rocks in our region, ranked by their potential favorability. Favorability is quantified using three metrics: Reservoir Productivity Index for water as the heat-transport working fluid; Reservoir Productivity Index for supercritical carbon dioxide as the heat-transport working fluid; Reservoir Flow Capacity. The first two metrics include engineering inputs to predict production-stage performance of the reservoirs. The third metric includes only geologic properties. The metrics are explained in the Reservoirs Methodology Memo (included in zip file). Because the data sources are well data from oil and gas exploration and production and these data are not inclusive of all locations in the Appalachian Basin study area, the product represents a minimum spatial extent of potential sedimentary rock geothermal reservoirs. Only natural porosity and permeability were analyzed. Shapefile and images of the spatial distributions of these reservoir quality metrics and of the uncertainty on these metrics are included as well.

Data and Resources

Metadata Source

Additional Info

Field Value
Citation Date 2016-10-28T00:00:00-06:00

Harvest Information

Original ID f0000001-58cc-4372-a567-000000000881
Index Date 2019-02-21T16:48:35-07:00
Original Format ISO-USGIN
Original Version 1.2

Author

Name Teresa E. Jordan
Position primary contact
Organization Cornell University
Email tej1@cornell.edu

Geographic Extent

North Bound 43.639458733459
South Bound 37.107987319794
East Bound -75.10113125
West Bound -82.7804734375