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Chemistry and Technology of Fuels and Oils
Published in: Chemistry and Technology of Fuels and Oils 5/2018

28-11-2018

Preferred Seepage Channel Identification Based on Multifactorial Gray Correlation Analysis

Authors: Zhidong Yang, ZhiJun Li, Haipeng Liang, Ran Zhang

Published in: Chemistry and Technology of Fuels and Oils | Issue 5/2018

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Abstract

When studying oil reservoirs, we have the problem of identification of the preferred seepage channel. Conventional methods evaluate the influence of individual factors. The proposed Deng's relational analysis method lets us evaluate the influence of several parameters, their relative weight and correlation. In this paper, we present the basic principles for application of Deng's relational analysis as applied to liquid and gas flow processes. We have calculated the correlation degree and the weighting factors for different geological parameters, production parameters, and seepage directions, and have proposed a mathematical model for identifying the preferred seepage channel and we verify the model using a type A water drive curve.
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Literature
1.
Hong Qi, "Production declining analyzed by gray system theory," Petroleum Exploration and Development, No. 6, 68-72 (1986).
2.
Dachang Li and Pingyi Lin, "Gas field/well behavior prediction by gray system," Natural Gas Industry, No. 2, 47-53 (1988).
3.
Changrong Lin, "Preliminary study on application of the grey system in forcasting oil productivity," China Offshore Oil & Gas (Geology), No. 4, 17-21(1989).
4.
Zhiping Li and Birong Zhao, "A grey correlation analysis method for evaluating waterflooding effects during oilfield development," Petroleum Geology & Oilfield Development in Daqing, No. 3, 44-51 (1990).
5.
Yuezhi Wang and Chunzhi Luo, "Applying grey relational analysis to selecting the rheologic model for drilling fluids," Journal of Oil and Gas Technology, No. 4, 43-49 (1990).
6.
Tongwen Jiang, Qibin Yan, Qinyu Hong, and Guangzhi Lan, "Application of the grey comprehensive assessment method to fracture prediction," Petroleum Exploration and Development, No. 2, 35-37 (1996).
7.
Shunpeng Zeng and Chimbi Xu, "Application of the grey system to assessment of integrated fracturing in oil & gas reserviors," Natural Gas Industry, 17, No. 1, 81-83 (1997).
8.
Chengqian Tan, Ziqi Song, and Shaobo Wu, "Comprehensive evaluation of reservoir production capacity through grey association analysis," Petroleum Geology and Engineering, 15, No. 2, 20-23 (2001).
9.
Wei Ji, Yuchao Zhang, Xiaoliang Shi, Meng Niu, and Zhiyong Zhong, "Gray correlation analysis of main control parameters for productivity to volume fractured well in low permeability oil reservoir," Well Testing, 24, No. 1, 34-37 (2015).
10.
Jiandong Zhou, "Reservoir production decline influencing factors and its grey model analysis," Petrochemical Industry Application, 34, No. 7, 34-36 (2015).
11.
Zhanhua Qu, Liping Zhou, Tianhuai Guo, Desheng Huang, Huaru Xu, and Xiaolong Li, "Analysis of influence factors of fracture seepage capacity based on gray correlation theory," Journal of Xran Shiyou University (Natural Science), 30, No. 4, 82-86 (2015).
12.
Shasha Song, Kai Ma, and Biao Zhang, "Analysis on influencing factors of fracture response in low permeability reservoir with gray correlation method," Guangdong Chemical Industry, 42, No. 11, 61-62 (2015).
13.
Zedong Zhan, Ye Zhou, Lixia Guo, Jiang Zhu, and Wanshu Huang, "The modeling and application of the key factors of controlling production of gas well based on gray correlation," Industrial Safety and Environmental Protection, No. 9, 55-57 (2015).
14.
liaqiang Jiang and Yifei Zhu, "Crude composition influencing its viscosity and its gray correlation analysis," Oil-Gasfield Surface Engineering, 19, No. 6, 12-13 (2000).
15.
Xiongjun Zhang, Linsong Cheng, and Chunlan Li, "Application of the grey relative analysis method to the influencing factor of analysis of production decline rate," Petroleum Geology and Recovery Efficiency,11, No. 6, 48-50 (2004).
16.
Junjian Li, Hanqiao Jiang, Minfeng Chen, Xiang Qi, and Haiying Yu, "Analysis on correlation and adaptability of factors affecting polymer flooding efficiency," Oil Drilling & Production Technology, 30, No. 2, 86-89 (2008).
17.
Debing Peng, Hai Tang, Chengxiang Li, Chunlei Su, Yan Wang, and Chunmei Fu, "Application of grey association analysis to the study of remaining oil distribution," Lithologic Reservoirs, 22, No. 3, 133-136 (2010).
Metadata
Title
Preferred Seepage Channel Identification Based on Multifactorial Gray Correlation Analysis
Authors
Zhidong Yang
ZhiJun Li
Haipeng Liang
Ran Zhang
Publication date
28-11-2018
Publisher
Springer US
Published in
Chemistry and Technology of Fuels and Oils / Issue 5/2018
Print ISSN: 0009-3092
Electronic ISSN: 1573-8310
DOI
https://doi.org/10.1007/s10553-018-0968-x

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