Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks
Heterolithic thin beds reservoirs contain significant amounts of hydrocarbons. We characterized the reservoir properties (sandstone connectivity, continuity and permeability) of sandstone layers in heterolithic rocks using three-dimensional imaging and analysis of heterolithic core plugs and mini pl...
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my.um.eprints.363602023-11-29T14:40:35Z http://eprints.um.edu.my/36360/ Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks Hasnan, Hijaz Kamal Sheppard, Adrian Hassan, Meor Hakif Amir Knackstedt, Mark Abdullah, Wan Hasiah Q Science (General) QE Geology Heterolithic thin beds reservoirs contain significant amounts of hydrocarbons. We characterized the reservoir properties (sandstone connectivity, continuity and permeability) of sandstone layers in heterolithic rocks using three-dimensional imaging and analysis of heterolithic core plugs and mini plugs. The high-resolution three-dimensional models of the samples are smaller than a typical reservoir model grid block and similar the millimetre-to-centimetre beddings in heterolithic rocks. We find that the key to reservoir quality in heterolithic rocks is the connectivity and continuity of thin reservoir sandstone layers. Also, we show that these well connected and continuous thin sandstone layers have higher effective permeabilities that are comparable to a reference reservoir sandstone. These results can provide further information as to why some low resistivity heterolithic intervals with low net-to-gross values of the sandstone produced a significant amount of hydrocarbon despite lower production forecast based on well logs and core plug data. Determining the connectivity and continuity of thin sandstone layers is difficult due to limitations of well logs and core plug analysis that do not resolve and capture the connectivity of thin beddings. We show that 3-D Image Visualization is effective in characterizing the connectivity and continuity of thin sandstone layers in heterolithic rocks. Also, our Digital Core Analysis method computed permeability of thin sandstone layers in 3-D models of mini plugs representing thin sandstone layers in heterolithic core plugs. Our results represent information and reservoir properties at the millimetre-to-centimetre scale that are similar to the thickness of thin sandstone beddings in heterolithic rocks. Elsevier 2020-10 Article PeerReviewed Hasnan, Hijaz Kamal and Sheppard, Adrian and Hassan, Meor Hakif Amir and Knackstedt, Mark and Abdullah, Wan Hasiah (2020) Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks. Marine and Petroleum Geology, 120. ISSN 0264-8172, DOI https://doi.org/10.1016/j.marpetgeo.2020.104549 <https://doi.org/10.1016/j.marpetgeo.2020.104549>. 10.1016/j.marpetgeo.2020.104549 |
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Q Science (General) QE Geology Hasnan, Hijaz Kamal Sheppard, Adrian Hassan, Meor Hakif Amir Knackstedt, Mark Abdullah, Wan Hasiah Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks |
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Heterolithic thin beds reservoirs contain significant amounts of hydrocarbons. We characterized the reservoir properties (sandstone connectivity, continuity and permeability) of sandstone layers in heterolithic rocks using three-dimensional imaging and analysis of heterolithic core plugs and mini plugs. The high-resolution three-dimensional models of the samples are smaller than a typical reservoir model grid block and similar the millimetre-to-centimetre beddings in heterolithic rocks. We find that the key to reservoir quality in heterolithic rocks is the connectivity and continuity of thin reservoir sandstone layers. Also, we show that these well connected and continuous thin sandstone layers have higher effective permeabilities that are comparable to a reference reservoir sandstone. These results can provide further information as to why some low resistivity heterolithic intervals with low net-to-gross values of the sandstone produced a significant amount of hydrocarbon despite lower production forecast based on well logs and core plug data. Determining the connectivity and continuity of thin sandstone layers is difficult due to limitations of well logs and core plug analysis that do not resolve and capture the connectivity of thin beddings. We show that 3-D Image Visualization is effective in characterizing the connectivity and continuity of thin sandstone layers in heterolithic rocks. Also, our Digital Core Analysis method computed permeability of thin sandstone layers in 3-D models of mini plugs representing thin sandstone layers in heterolithic core plugs. Our results represent information and reservoir properties at the millimetre-to-centimetre scale that are similar to the thickness of thin sandstone beddings in heterolithic rocks. |
format |
Article |
author |
Hasnan, Hijaz Kamal Sheppard, Adrian Hassan, Meor Hakif Amir Knackstedt, Mark Abdullah, Wan Hasiah |
author_facet |
Hasnan, Hijaz Kamal Sheppard, Adrian Hassan, Meor Hakif Amir Knackstedt, Mark Abdullah, Wan Hasiah |
author_sort |
Hasnan, Hijaz Kamal |
title |
Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks |
title_short |
Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks |
title_full |
Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks |
title_fullStr |
Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks |
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Digital core analysis: Improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks |
title_sort |
digital core analysis: improved connectivity and permeability characterization of thin sandstone layers in heterolithic rocks |
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Elsevier |
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2020 |
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http://eprints.um.edu.my/36360/ |
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