An Integrated Method for Upscaling Pore-Network Characterization and Permeability Estimation: Example from the Mississippian Barnett Shale
Although pore-network characterization of shale rock systems is being actively investigated, a detailed understanding of the pore network at the nanometer-to-millimeter scale has not been completed. This is because of the technical limitations of collecting and integrating data at the wide spectrum...
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Veröffentlicht in: | Transport in porous media 2015-09, Vol.109 (2), p.359-376 |
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description | Although pore-network characterization of shale rock systems is being actively investigated, a detailed understanding of the pore network at the nanometer-to-millimeter scale has not been completed. This is because of the technical limitations of collecting and integrating data at the wide spectrum of scales necessary to understand the pore network. Permeability for a micrometer-scale volume can be estimated based on pore-scale modeling for the focused ion beam/scanning electron microscope (FIB/SEM) milled 3D pore network; however, it is not clear how representative this permeability is for larger volumes. In this study, an integrated method employing FIB/SEM, helium ion microscopy, and synchrotron X-ray micro-computed tomography (micro-CT) was developed and applied to a Barnett Shale sample for pore and organic-matter distribution network characterization and upscaling. Organic-matter particle network characterization using synchrotron micro-CT scanning is the key step that bridges the gap between nanometer-scale and macroscopic observations. A conceptual model and an empirical equation were developed for permeability estimation based on FIB/SEM and micro-CT image analysis and mercury intrusion data. Upscaled permeability estimation was produced based on the empirical equation and parameters from the image and mercury intrusion analysis. The resulting permeability values of 2–22 and 0.6–3 nD for parallel and perpendicular to bedding planes, respectively, are comparable to laboratory measurements of the same sample. The proposed technique provides a method for more basic understanding of the pore network and pore-permeability relationship for organic-rich shale samples, and can serve as a basis for further upscaling to core and formation scale. |
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This is because of the technical limitations of collecting and integrating data at the wide spectrum of scales necessary to understand the pore network. Permeability for a micrometer-scale volume can be estimated based on pore-scale modeling for the focused ion beam/scanning electron microscope (FIB/SEM) milled 3D pore network; however, it is not clear how representative this permeability is for larger volumes. In this study, an integrated method employing FIB/SEM, helium ion microscopy, and synchrotron X-ray micro-computed tomography (micro-CT) was developed and applied to a Barnett Shale sample for pore and organic-matter distribution network characterization and upscaling. Organic-matter particle network characterization using synchrotron micro-CT scanning is the key step that bridges the gap between nanometer-scale and macroscopic observations. A conceptual model and an empirical equation were developed for permeability estimation based on FIB/SEM and micro-CT image analysis and mercury intrusion data. Upscaled permeability estimation was produced based on the empirical equation and parameters from the image and mercury intrusion analysis. The resulting permeability values of 2–22 and 0.6–3 nD for parallel and perpendicular to bedding planes, respectively, are comparable to laboratory measurements of the same sample. The proposed technique provides a method for more basic understanding of the pore network and pore-permeability relationship for organic-rich shale samples, and can serve as a basis for further upscaling to core and formation scale.</description><identifier>ISSN: 0169-3913</identifier><identifier>EISSN: 1573-1634</identifier><identifier>DOI: 10.1007/s11242-015-0523-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Civil Engineering ; Classical and Continuum Physics ; Computed tomography ; Distribution management ; Earth and Environmental Science ; Earth Sciences ; Empirical equations ; Geotechnical Engineering & Applied Earth Sciences ; Helium ions ; Hydrogeology ; Hydrology/Water Resources ; Image analysis ; Industrial Chemistry/Chemical Engineering ; Intrusion ; Ion beams ; Mathematical models ; Medical imaging ; Nanostructure ; Networks ; Permeability ; Porosity ; Scanning electron microscopy ; Shale ; Shale gas ; Synchrotron radiation</subject><ispartof>Transport in porous media, 2015-09, Vol.109 (2), p.359-376</ispartof><rights>Springer Science+Business Media Dordrecht 2015</rights><rights>Transport in Porous Media is a copyright of Springer, (2015). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a442t-aab72b27bd1d707003ffda4e7a451325a7d95f53672c13307c9dbbfa9875e2a53</citedby><cites>FETCH-LOGICAL-a442t-aab72b27bd1d707003ffda4e7a451325a7d95f53672c13307c9dbbfa9875e2a53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11242-015-0523-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11242-015-0523-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Peng, Sheng</creatorcontrib><creatorcontrib>Yang, Jijin</creatorcontrib><creatorcontrib>Xiao, Xianghui</creatorcontrib><creatorcontrib>Loucks, Bob</creatorcontrib><creatorcontrib>Ruppel, Stephen C.</creatorcontrib><creatorcontrib>Zhang, Tongwei</creatorcontrib><title>An Integrated Method for Upscaling Pore-Network Characterization and Permeability Estimation: Example from the Mississippian Barnett Shale</title><title>Transport in porous media</title><addtitle>Transp Porous Med</addtitle><description>Although pore-network characterization of shale rock systems is being actively investigated, a detailed understanding of the pore network at the nanometer-to-millimeter scale has not been completed. 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A conceptual model and an empirical equation were developed for permeability estimation based on FIB/SEM and micro-CT image analysis and mercury intrusion data. Upscaled permeability estimation was produced based on the empirical equation and parameters from the image and mercury intrusion analysis. The resulting permeability values of 2–22 and 0.6–3 nD for parallel and perpendicular to bedding planes, respectively, are comparable to laboratory measurements of the same sample. 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Yang, Jijin ; Xiao, Xianghui ; Loucks, Bob ; Ruppel, Stephen C. ; Zhang, Tongwei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a442t-aab72b27bd1d707003ffda4e7a451325a7d95f53672c13307c9dbbfa9875e2a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Civil Engineering</topic><topic>Classical and Continuum Physics</topic><topic>Computed tomography</topic><topic>Distribution management</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Empirical equations</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Helium ions</topic><topic>Hydrogeology</topic><topic>Hydrology/Water Resources</topic><topic>Image analysis</topic><topic>Industrial Chemistry/Chemical Engineering</topic><topic>Intrusion</topic><topic>Ion beams</topic><topic>Mathematical models</topic><topic>Medical imaging</topic><topic>Nanostructure</topic><topic>Networks</topic><topic>Permeability</topic><topic>Porosity</topic><topic>Scanning electron microscopy</topic><topic>Shale</topic><topic>Shale gas</topic><topic>Synchrotron radiation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Sheng</creatorcontrib><creatorcontrib>Yang, Jijin</creatorcontrib><creatorcontrib>Xiao, Xianghui</creatorcontrib><creatorcontrib>Loucks, Bob</creatorcontrib><creatorcontrib>Ruppel, Stephen C.</creatorcontrib><creatorcontrib>Zhang, Tongwei</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Transport in porous media</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Sheng</au><au>Yang, Jijin</au><au>Xiao, Xianghui</au><au>Loucks, Bob</au><au>Ruppel, Stephen C.</au><au>Zhang, Tongwei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Integrated Method for Upscaling Pore-Network Characterization and Permeability Estimation: Example from the Mississippian Barnett Shale</atitle><jtitle>Transport in porous media</jtitle><stitle>Transp Porous Med</stitle><date>2015-09-01</date><risdate>2015</risdate><volume>109</volume><issue>2</issue><spage>359</spage><epage>376</epage><pages>359-376</pages><issn>0169-3913</issn><eissn>1573-1634</eissn><abstract>Although pore-network characterization of shale rock systems is being actively investigated, a detailed understanding of the pore network at the nanometer-to-millimeter scale has not been completed. This is because of the technical limitations of collecting and integrating data at the wide spectrum of scales necessary to understand the pore network. Permeability for a micrometer-scale volume can be estimated based on pore-scale modeling for the focused ion beam/scanning electron microscope (FIB/SEM) milled 3D pore network; however, it is not clear how representative this permeability is for larger volumes. In this study, an integrated method employing FIB/SEM, helium ion microscopy, and synchrotron X-ray micro-computed tomography (micro-CT) was developed and applied to a Barnett Shale sample for pore and organic-matter distribution network characterization and upscaling. Organic-matter particle network characterization using synchrotron micro-CT scanning is the key step that bridges the gap between nanometer-scale and macroscopic observations. A conceptual model and an empirical equation were developed for permeability estimation based on FIB/SEM and micro-CT image analysis and mercury intrusion data. Upscaled permeability estimation was produced based on the empirical equation and parameters from the image and mercury intrusion analysis. The resulting permeability values of 2–22 and 0.6–3 nD for parallel and perpendicular to bedding planes, respectively, are comparable to laboratory measurements of the same sample. The proposed technique provides a method for more basic understanding of the pore network and pore-permeability relationship for organic-rich shale samples, and can serve as a basis for further upscaling to core and formation scale.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11242-015-0523-8</doi><tpages>18</tpages></addata></record> |
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subjects | Civil Engineering Classical and Continuum Physics Computed tomography Distribution management Earth and Environmental Science Earth Sciences Empirical equations Geotechnical Engineering & Applied Earth Sciences Helium ions Hydrogeology Hydrology/Water Resources Image analysis Industrial Chemistry/Chemical Engineering Intrusion Ion beams Mathematical models Medical imaging Nanostructure Networks Permeability Porosity Scanning electron microscopy Shale Shale gas Synchrotron radiation |
title | An Integrated Method for Upscaling Pore-Network Characterization and Permeability Estimation: Example from the Mississippian Barnett Shale |
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