Three-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography
Abstract Tight gas sandstone samples are imaged at high resolution industrial X-ray computed tomography (ICT) systems to provide a three-dimensional quantitative characterization of the fracture geometries. Fracture networks are quantitatively analyzed using a combination of 2-D slice analysis and 3...
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Nature Portfolio
2017
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oai:doaj.org-article:29825b00d00c4887a056a504005302592021-12-02T12:30:19ZThree-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography10.1038/s41598-017-01996-72045-2322https://doaj.org/article/29825b00d00c4887a056a504005302592017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01996-7https://doaj.org/toc/2045-2322Abstract Tight gas sandstone samples are imaged at high resolution industrial X-ray computed tomography (ICT) systems to provide a three-dimensional quantitative characterization of the fracture geometries. Fracture networks are quantitatively analyzed using a combination of 2-D slice analysis and 3-D visualization and counting. The core samples are firstly scanned to produce grayscale slices, and the corresponding fracture area, length, aperture and fracture porosity as well as fracture density were measured. Then the 2-D slices were stacked to create a complete 3-D image using volume-rendering software. The open fractures (vug) are colored cyan whereas the calcite-filled fractures (high density objects) are colored magenta. The surface area and volume of both open fractures and high density fractures are calculated by 3-D counting. Then the fracture porosity and fracture aperture are estimated by 3-D counting. The fracture porosity and aperture from ICT analysis performed at atmospheric pressure are higher than those calculated from image logs at reservoir conditions. At last, the fracture connectivity is determined through comparison of fracture parameters with permeability. Distribution of fracture density and fracture aperture determines the permeability and producibility of tight gas sandstones. ICT has the advantage of performing three dimensional fracture imaging in a non-destructive way.Jin LaiGuiwen WangZhuoying FanJing ChenZiqiang QinChengwen XiaoShuchen WangXuqiang FanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017) |
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EN |
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Medicine R Science Q |
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Medicine R Science Q Jin Lai Guiwen Wang Zhuoying Fan Jing Chen Ziqiang Qin Chengwen Xiao Shuchen Wang Xuqiang Fan Three-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography |
| description |
Abstract Tight gas sandstone samples are imaged at high resolution industrial X-ray computed tomography (ICT) systems to provide a three-dimensional quantitative characterization of the fracture geometries. Fracture networks are quantitatively analyzed using a combination of 2-D slice analysis and 3-D visualization and counting. The core samples are firstly scanned to produce grayscale slices, and the corresponding fracture area, length, aperture and fracture porosity as well as fracture density were measured. Then the 2-D slices were stacked to create a complete 3-D image using volume-rendering software. The open fractures (vug) are colored cyan whereas the calcite-filled fractures (high density objects) are colored magenta. The surface area and volume of both open fractures and high density fractures are calculated by 3-D counting. Then the fracture porosity and fracture aperture are estimated by 3-D counting. The fracture porosity and aperture from ICT analysis performed at atmospheric pressure are higher than those calculated from image logs at reservoir conditions. At last, the fracture connectivity is determined through comparison of fracture parameters with permeability. Distribution of fracture density and fracture aperture determines the permeability and producibility of tight gas sandstones. ICT has the advantage of performing three dimensional fracture imaging in a non-destructive way. |
| format |
article |
| author |
Jin Lai Guiwen Wang Zhuoying Fan Jing Chen Ziqiang Qin Chengwen Xiao Shuchen Wang Xuqiang Fan |
| author_facet |
Jin Lai Guiwen Wang Zhuoying Fan Jing Chen Ziqiang Qin Chengwen Xiao Shuchen Wang Xuqiang Fan |
| author_sort |
Jin Lai |
| title |
Three-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography |
| title_short |
Three-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography |
| title_full |
Three-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography |
| title_fullStr |
Three-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography |
| title_full_unstemmed |
Three-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography |
| title_sort |
three-dimensional quantitative fracture analysis of tight gas sandstones using industrial computed tomography |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/29825b00d00c4887a056a50400530259 |
| work_keys_str_mv |
AT jinlai threedimensionalquantitativefractureanalysisoftightgassandstonesusingindustrialcomputedtomography AT guiwenwang threedimensionalquantitativefractureanalysisoftightgassandstonesusingindustrialcomputedtomography AT zhuoyingfan threedimensionalquantitativefractureanalysisoftightgassandstonesusingindustrialcomputedtomography AT jingchen threedimensionalquantitativefractureanalysisoftightgassandstonesusingindustrialcomputedtomography AT ziqiangqin threedimensionalquantitativefractureanalysisoftightgassandstonesusingindustrialcomputedtomography AT chengwenxiao threedimensionalquantitativefractureanalysisoftightgassandstonesusingindustrialcomputedtomography AT shuchenwang threedimensionalquantitativefractureanalysisoftightgassandstonesusingindustrialcomputedtomography AT xuqiangfan threedimensionalquantitativefractureanalysisoftightgassandstonesusingindustrialcomputedtomography |
| _version_ |
1718394387428278272 |