Pore Space Quantification of Three Sandstones Binary Micro CT Images
- سال انتشار: 1403
- محل انتشار: مجله مهندسی منابع معدنی، دوره: 9، شماره: 2
- کد COI اختصاصی: JR_MHRE-9-2_001
- زبان مقاله: فارسی
- تعداد مشاهده: 149
نویسندگان
Ph.D Student, Faculty of Petroleum and Natural Gas Engineering, Sahand University of Technology, Tabriz, Iran
Professor, Faculty of Petroleum and Natural Gas Engineering, Sahand University of Technology, Tabriz, Iran
Associate Professor, Faculty of Petroleum and Natural Gas Engineering, Sahand University of Technology, Tabriz, Iran
چکیده
The pore geometry and topology properties of rocks are significant for a better understanding of the complex hydrologic and elastic properties. If the complexity of porous media is considered, reliable results can achieve. In three-dimensional imaging of cavities, these complexities are taken into account. In this study, by conducting different methods deep understanding from some sandstones pore space is undertaken. Three series of ۲D micro-computed tomography sandstones binary images have been considered, each of them imagined as a ۳D binary image. Using novel skeletonization and pore-throat partitioning algorithms some network properties have been evaluated and compared for three cases. Those properties are pore and grain size distribution, throat length frequency, and coordination number frequency. Also, geometric measures in ۲D and ۳D have been considered using Minkowski functionals. The area, the perimeter and the ۲D Euler number of ۲D binary images and the volume, the surface area, the mean breadth also known as integral of the mean curvature, and the ۳D Euler Number of ۳D binary images are considered.کلیدواژه ها
Pore Network Characterization, Sandstones, ۳D Binary Image, Skeletonization, Skeleton to Graphاطلاعات بیشتر در مورد COI
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