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An improved rock typing method for tight sandstone based on new rock typing indexes and the weighted fuzzy kNN algorithm

文献类型：期刊论文

作者Ji LL(姬莉莉)3; Lin M(林缅)2,3; Jiang WB(江文滨)3; Cao GH(曹高辉)3; Xu ZP(徐志朋)3; Hao, Fang1
刊名JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
出版日期2022-03-01
卷号210页码:16
ISSN号0920-4105
关键词New rock typing indexes The weighted fuzzy kNN algorithm Tight sandstone Non-Darcy flow
DOI10.1016/j.petrol.2021.109956
通讯作者Lin, Mian(linmian@imech.ac.cn) ; Jiang, Wenbin(jiangwenbin@imech.ac.cn)
英文摘要Petrophysical rock typing is a very important problem in flow unit interpretation and reservoir characterization. Unlike the sandstone, the presence of numerous nanopores in tight sandstone can cause strong gas and liquid non-linear flow. And this makes the traditional rock typing indexes derived from Darcy'law unsuitable for tight sandstone. In this paper, new rock typing indexes, including the Darcy index (Fi), the gas non-Darcy index (Kc) and the liquid non-Darcy index (Sr), have been proposed to describe the non-linear flow characteristics in tight sandstone. In addition, the limit pore ranges for gas and liquid non-Darcy flow have been determined based on these indexes. Then the weighted fuzzy kNN algorithm, which can consider the weight differences between different rock typing indexes, is combined with three indexes to improve the accuracy of rock typing. In order to test the rock typing indexes and the weighted fuzzy kNN algorithm, the tight sandstone dataset in Upper Triassic Yanchang Formation, Ordos Basin, NW China has been constructed with RES (representative element surface) random pore network and experiment data. The results show that the new rock typing indexes and the weighted fuzzy kNN algorithm have better performance in typing tight sandstone than the traditional methods. Moreover, 30 mercury injection capillary pressure (MICP) curves measured on highly inhomogeneous tight sandstone samples from the research area have also been used to validate our method. All the results have proved that the proposed new rock typing indexes and weighted fuzzy kNN algorithm can type the tight sandstone very well, and they play a significant role in permeability prediction, reservoir modeling and simulation.
分类号一类
WOS关键词HYDRAULIC FLOW UNITS ; PERMEABILITY ; CENTRALITY ; DIFFUSION
资助项目National Natural Science Foundation of China[42030808] ; National Natural Science Foundation of China[41872163] ; National Natural Science Foundation of China[41690132] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14010304]
WOS研究方向Energy & Fuels ; Engineering
语种英语
WOS记录号WOS:000736209100004
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
其他责任者Lin, Mian ; Jiang, Wenbin
源URL[http://dspace.imech.ac.cn/handle/311007/88239]  
专题力学研究所_流固耦合系统力学重点实验室(2012-)
作者单位1.China Univ Petr, Sch Geosci, Qingdao 266555, Shandong, Peoples R China
2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100190, Peoples R China;
3.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China;
推荐引用方式
GB/T 7714		 Ji LL,Lin M,Jiang WB,et al. An improved rock typing method for tight sandstone based on new rock typing indexes and the weighted fuzzy kNN algorithm[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2022,210:16.
APA 姬莉莉,林缅,江文滨,曹高辉,徐志朋,&Hao, Fang.(2022).An improved rock typing method for tight sandstone based on new rock typing indexes and the weighted fuzzy kNN algorithm.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,210,16.
MLA 姬莉莉,et al."An improved rock typing method for tight sandstone based on new rock typing indexes and the weighted fuzzy kNN algorithm".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 210(2022):16.

入库方式： OAI收割

来源：力学研究所

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