<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
  <Esri>
    <CreaDate>20250728</CreaDate>
    <CreaTime>11041700</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
    </Thumbnail>
  </Binary>
  <mdChar>
    <CharSetCd value="004"/>
  </mdChar>
  <mdHrLv>
    <ScopeCd value="005"/>
  </mdHrLv>
  <mdStanName>ArcGIS Metadata</mdStanName>
  <mdStanVer>1.0</mdStanVer>
  <dataIdInfo>
    <idCitation>
      <resTitle>PedirkaAndWesternEromangaBasinsEnergyResourceAssessments</resTitle>
    </idCitation>
    <idAbs>The AFER Project has adapted the conventional hydrocarbon play-based exploration workflow, developed by the petroleum industry over several decades, to develop a similar approach for assessing unconventional hydrocarbon resource potential and CO2 geological storage prospectivity. Play-based exploration is a method of building and leveraging an understanding of a basin and its sediment-hosted resources by systematically evaluating a series of play intervals using the best available geological data and models. Each play interval represents a regionally significant reservoir/aquifer for one or more resources (e.g. hydrocarbons, groundwater, CO2 storage intervals) often with an associated seal/aquitard. Various ‘risk elements’ that are essential for a resource to exist can be mapped and qualified with a probability of geological success. These risk elements are then spatially integrated (stacked) to generate common risk segment (CRS) or ‘heat’ maps for each play interval that indicate areas of relatively high prospectivity versus relatively low prospectivity. Geological risk elements are evaluated using post-drill analysis of well control points, and geological maps generated from basin studies. Common risk segment mapping, supported by post-drill analysis, has been undertaken by the AFER Project using the GIS-Pax Player Software, and assigned a geological probability of success (POS) using a ‘split risking’ system that involves assessing: Pg play, which is the POS that the risk element is effective somewhere within the map segment.</idAbs>
    <idPurp>Provide a web service that captures the results of the AFER Project's Energy Resource Assessments (EFTF Program) in the Pedirka and western Eromanga basins.</idPurp>
    <idCredit>© Commonwealth of Australia (Geoscience Australia) 2025. This material is released under the Creative Commons Attribution 4.0 International Licence. https://creativecommons.org/licenses/by/4.0/legalcode</idCredit>
    <themeKeys>
      <keyword>Australia</keyword>
      <keyword>web service</keyword>
      <keyword>AFER</keyword>
      <keyword>EFTF</keyword>
      <keyword>Exploring for the Future</keyword>
      <keyword>Energy Resource Assessments Module</keyword>
      <keyword>Pedirka Basin</keyword>
      <keyword>Conventional Hydrocarbons</keyword>
      <keyword>CO2 geological storage</keyword>
      <keyword>western Eromanga Basin</keyword>
    </themeKeys>
    <searchKeys>
      <keyword>Australia</keyword>
      <keyword>web service</keyword>
      <keyword>AFER</keyword>
      <keyword>EFTF</keyword>
      <keyword>Exploring for the Future</keyword>
      <keyword>energy resource assessment module</keyword>
      <keyword>Pedirka Basin</keyword>
      <keyword>conventional hydrocarbons</keyword>
      <keyword>CO2 geological storage</keyword>
      <keyword>western Eromanga Basin</keyword>
    </searchKeys>
    <resConst>
      <Consts>
        <useLimit/>
      </Consts>
    </resConst>
  </dataIdInfo>
</metadata>
