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Title: Appalachian Play Fairway Analysis Seismic Hazards Supporting Data

Abstract

These are the data used in estimating the seismic hazards (both natural and induced) for candidate direct use geothermal locations in the Appalachian Basin Play Fairway Analysis by Jordan et al. (2015). xMin,yMin -83.1407,36.7461 : xMax,yMax -71.5175,45.1729

Authors:
Publication Date:
Research Org.:
DOE Geothermal Data Repository; Cornell University
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Contributing Org.:
Cornell University
OSTI Identifier:
1287542
Report Number(s):
837
DOE Contract Number:
EE0006734
Resource Type:
Data
Data Type:
Specialized Mix
Country of Publication:
United States
Availability:
GDRHelp@EE.Doe.Gov
Language:
English
Subject:
15 Geothermal Energy; geothermal; induced seismicity; gravity; magnetics; Poisson Wavelet Multiscale Edge Detection; Worms; World Stress Map; zipfile

Citation Formats

Frank Horowitz. Appalachian Play Fairway Analysis Seismic Hazards Supporting Data. United States: N. p., 2016. Web. doi:10.15121/1287542.
Frank Horowitz. Appalachian Play Fairway Analysis Seismic Hazards Supporting Data. United States. doi:10.15121/1287542.
Frank Horowitz. Wed . "Appalachian Play Fairway Analysis Seismic Hazards Supporting Data". United States. doi:10.15121/1287542. https://www.osti.gov/servlets/purl/1287542.
@article{osti_1287542,
title = {Appalachian Play Fairway Analysis Seismic Hazards Supporting Data},
author = {Frank Horowitz},
abstractNote = {These are the data used in estimating the seismic hazards (both natural and induced) for candidate direct use geothermal locations in the Appalachian Basin Play Fairway Analysis by Jordan et al. (2015). xMin,yMin -83.1407,36.7461 : xMax,yMax -71.5175,45.1729},
doi = {10.15121/1287542},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 20 00:00:00 EDT 2016},
month = {Wed Jul 20 00:00:00 EDT 2016}
}

Dataset:

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  • 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 using a new metric, Reservoir Productivity Index, as explained in the Reservoirs Methodology Memo (included in zip file). Shapefile and images of the Reservoir Productivity and Reservoir Uncertainty are included as well.
  • This collection of files are part of a larger dataset uploaded in support of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB, DOE Project DE-EE0006726). Phase 1 of the GPFA-AB project identified potential Geothermal Play Fairways within the Appalachian basin of Pennsylvania, West Virginia and New York. This was accomplished through analysis of 4 key criteria or ‘risks’: thermal quality, natural reservoir productivity, risk of seismicity, and heat utilization. Each of these analyses represent a distinct project task, with the fifth task encompassing combination of the 4 risks factors. Supporting data for all five tasks has beenmore » uploaded into the Geothermal Data Repository node of the National Geothermal Data System (NGDS). This submission comprises the data for Thermal Quality Analysis (project task 1) and includes all of the necessary shapefiles, rasters, datasets, code, and references to code repositories that were used to create the thermal resource and risk factor maps as part of the GPFA-AB project. The identified Geothermal Play Fairways are also provided with the larger dataset. Figures (.png) are provided as examples of the shapefiles and rasters. The regional standardized 1 square km grid used in the project is also provided as points (cell centers), polygons, and as a raster. Two ArcGIS toolboxes are available: 1) RegionalGridModels.tbx for creating resource and risk factor maps on the standardized grid, and 2) ThermalRiskFactorModels.tbx for use in making the thermal resource maps and cross sections. These toolboxes contain “item description” documentation for each model within the toolbox, and for the toolbox itself. This submission also contains three R scripts: 1) AddNewSeisFields.R to add seismic risk data to attribute tables of seismic risk, 2) StratifiedKrigingInterpolation.R for the interpolations used in the thermal resource analysis, and 3) LeaveOneOutCrossValidation.R for the cross validations used in the thermal interpolations. Some file descriptions make reference to various 'memos'. These are contained within the final report submitted October 16, 2015. Each zipped file in the submission contains an 'about' document describing the full Thermal Quality Analysis content available, along with key sources, authors, citation, use guidelines, and assumptions, with the specific file(s) contained within the .zip file highlighted.« less
  • Subset of all Aqueous Geochemistry, selected for UCD PF area only.
  • This submission contains information used to compute the risk factors for the GPFA-AB project (DE-EE0006726). The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking the product, sum, and minimum of the four risk factors. The files are divided into images, rasters, shapefiles, and supporting information. The image files show what the raster and shapefiles should look like. The raster files contain the input risk factors, calculation of the scaled risk factors, and calculation of the combined risk factors. The shapefiles include definition ofmore » the fairways, definition of the US Census Places, the center of the raster cells, and locations of industries. Supporting information contains details of the calculations or processing used in generating the files. An image of the raster will have the same name except *.png as the file ending instead of *.tif. Images with “fairways” or “industries” added to the name are composed of a raster with the relevant shapefile added. The file About_GPFA-AB_Phase1RiskAnalysisTask5DataUpload.pdf contains information the citation, special use considerations, authorship, etc. More details on each file are given in the spreadsheet “list_of_contents.csv” in the folder “SupportingInfo”. Code used to calculate values is available at https://github.com/calvinwhealton/geothermal_pfa under the folder “combining_metrics”.« less
  • *These files add to and replace same-named files found within Submission 559 (https://gdr.openei.org/submissions/559)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-state analysis of all known potential geothermal reservoirs in sedimentary rocks in the Appalachian Basin region, ranked by their potential favorability. Favorability is quantified using three metrics: Reservoir Productivity Index for water; Reservoir Productivity Index; Reservoir Flow Capacity. The metrics are explained in the Reservoirs Methodology Memo (included in zip file). The product represents a minimum spatial extent of potential sedimentary rock geothermal reservoirs. Only natural porosity and permeabilitymore » 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. UPDATE: Accompanying geologic reservoirs data may be found at: https://gdr.openei.org/submissions/881 (linked below).« less