Show simple item record

contributor authorChenchen, Wang
contributor authorHui, Zhao
contributor authorGuanglong, Sheng
contributor authorJingwei, Huang
contributor authorQi, Zhang
contributor authorYuhui, Zhou
date accessioned2023-11-29T19:06:19Z
date available2023-11-29T19:06:19Z
date copyright5/24/2023 12:00:00 AM
date issued5/24/2023 12:00:00 AM
date issued2023-05-24
identifier issn0195-0738
identifier otherjert_145_8_084502.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294584
description abstractBased on industrial computed tomography (CT), the whole core sandy conglomerate is scanned with a resolution of 0.5 mm/voxel, and the representative debris region and filling region subsample is selected to be scanned with a resolution of 15 µm/voxel using micro-CT. Then, four regions of the whole core sandy conglomerate image are segmented with the multi-threshold segmentation algorithm including macro pore, debris, filling, and gravel regions, while binary segmentation is performed on the debris and filling subsamples to segment the debris pores and filling pores respectively. Finally, the multi-scale and multi-region pore network model of the sandy conglomerate was constructed by the integration method to analyze the different types of pore characteristics. It can be found that the integrated sandy conglomerate model can reflect the structural characteristics of macro pore, debris pore, and filling pore at the same time. Meanwhile, the porosity and permeability of the integrated sandy conglomerate model are calculated and they are basically consistent with that of lab test results, which greatly increase the accuracy of the multi-scale multi-region pore network model.
publisherThe American Society of Mechanical Engineers (ASME)
titleMulti-Scale and Multi-Region Pore Structure Analysis on Sandy Conglomerate Whole Core With Digital Rock Model
typeJournal Paper
journal volume145
journal issue8
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4062525
journal fristpage84502-1
journal lastpage84502-6
page6
treeJournal of Energy Resources Technology:;2023:;volume( 145 ):;issue: 008
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record