国家冰川冻土沙漠科学数据中心

元数据

名称	An improved rock typing method for tight sandstone based on new rock typing indexes and the weighted fuzzy kNN algorithm
科技资源标识	CSTR:11738.14.NCDC.XDA14.PP5628.2024
DOI	10.1016/J.PETROL.2021.109956
数据共享方式	开放下载
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.
学科分类	170.50
关键词	New rock typing indexes The weighted fuzzy kNN algorithm Tight sandstone Non-Darcy flow
作者	Lili Ji,Mian Lin,Wenbin Jiang,Gaohui Cao,Zhipeng Xu,Fang Hao
数据量	24.9 MiB
论文类型：	journal
论文网址：	https://doi.org/10.1016/j.petrol.2021.109956
期刊名称：	Journal of Petroleum Science and Engineering
出版时间：	2022-03-01

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数据引用

Lili Ji,Mian Lin,Wenbin Jiang,Gaohui Cao,Zhipeng Xu,Fang Hao. An improved rock typing method for tight sandstone based on new rock typing indexes and the weighted fuzzy kNN algorithm. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP5628.2024.

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本作品采用知识共享署名 4.0 国际许可协议进行许可。

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项目信息详情

项目名称：深层油气形成与分布预测
项目编号：XDA14010000
项目类别：中国科学院战略性先导科技专项（A类）