| Identifying the comprehensive pore structure characteristics of a rock from 3D images | |
Xu ZP(徐志朋)1,2 ; Lin M(林缅)1,2; Jiang WB(江文滨)1; Cao GH(曹高辉)1,2; Yi ZX(易智星)1
| |
| Corresponding Author | Lin, Mian([email protected]) |
| Source Publication | JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
 |
| 2020-04-01 | |
| Volume | 187Pages:16 |
| ISSN | 0920-4105 |
| Abstract | Characterization of pore structure in reservoirs plays a significant role in predicting properties of rocks and classifying the reservoirs. The focus is on determining comprehensive geometric and topological parameters of pore structure. X-ray computerized tomography scanning provides a 3D image of the pore structure. However, these images cannot directly generate pore structure parameters without numerical characterization of the images. A new method is developed to determine comprehensive geometric and topological parameters of pore structure from images. These parameters were determined by utilizing common mathematical morphology operations to segment the entire pore space into a series of space blocks of different radii, subsequently identifying these blocks as pores and throats based on the proposed morphological features of pore and throat. The parallel scheme was also studied to obtain the highest efficiency. Thereafter, the characteristics of pore structures and the performance of the method were assessed for various samples. The results were compared to the results calculated by other methods. Results showed that the method produced reliable pore structure characteristics for a wide variety of rocks. Additionally, in order to discuss whether our results can be used as the basic input data for other researches, an example about two-phase flow simulation was made and a comparison of simulation results and experimental data was made. Our results were a competent choice for other studies. Also, after proposing the detection criteria of pore and throat, the subsequent detecting procedure is without artificial adjustable parameters, making the method convenient to use. This method can comprehensively, efficiently, accurately, and conveniently characterize the pore structure based only on images. |
| Keyword | Pore structure characterization Geometric parameters Topological parameters X-ray CT image Pore throat identification |
| DOI | 10.1016/j.petrol.2019.106764 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:000510456900045 |
| WOS Keyword | POROUS-MEDIA ; 2-PHASE FLOW ; MERCURY INTRUSION ; GAS-ADSORPTION ; TOMOGRAPHY ; MORPHOLOGY ; RESOLUTION ; RESERVOIRS ; SEGMENTATION ; SANDSTONES |
| WOS Research Area | Energy & Fuels ; Engineering |
| WOS Subject | Energy & Fuels ; Engineering, Petroleum |
| Funding Project | National Natural Science Foundation of China[41574129] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14010304] ; Major National Science and Technology Special Program of China[2017ZX05037-001] |
| Funding Organization | National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Major National Science and Technology Special Program of China |
| Classification | 一类 |
| Ranking | 1 |
| Contributor | Lin, Mian |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/81581 |
| Collection | 流固耦合系统力学重点实验室 |
| Affiliation | 1.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China; 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Xu ZP,Lin M,Jiang WB,et al. Identifying the comprehensive pore structure characteristics of a rock from 3D images[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2020,187:16.Rp_Au:Lin, Mian |
| APA | 徐志朋,林缅,江文滨,曹高辉,&易智星.(2020).Identifying the comprehensive pore structure characteristics of a rock from 3D images.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,187,16. |
| MLA | 徐志朋,et al."Identifying the comprehensive pore structure characteristics of a rock from 3D images".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 187(2020):16. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| Jp2020022.pdf（5185KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment