Zones Optimization of Low-Permeability Reservoir Based on Multi-attribute of Gray Target Decision

  • Yongchao Xue
  • Xuejiao ZhangEmail author
  • Guanyang Ding
Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG)


The low-permeability zones optimization can make the best use of low-permeability oil and gas resources. In this paper, ZZ zone, CYG zone in the periphery of Daqing oil field and YHW, BBC3, Z9 zone in Changqing oil field are selected respectively as the target zones, and then the method of gray target decision of multi-attribute with weight under the action of clout distance has been adopted to optimize the five zones and put them in order according to their qualities. For the purpose, main throat radius, mobile fluid percentage, start-up pressure gradient, the percent of clay contents, and crude oil viscosity are chosen as the evaluation indexes. Firstly, gray target decision matrix of multi-attribute aimed at the five target zones is developed, where transform operator of “rewarding superior and punishing inferior” is introduced to standardize the matrix, as a result, positive clout and negative clout of gray target model are obtained successfully. Then, the analytic hierarchy process is employed to obtain feature vector of the evaluation indexes’ judgment matrix, and by normalizing, the relative weights of the five evaluation indexes are calculated in the end. Next, based on the above process, positive and negative clout distance and comprehensive clout distance of target zones are calculated and applied to optimize the best zone. The smaller the comprehensive clout distance is, the better the zone is. The result shows that the best zone is BBC3 in Changqing oil field, while the rest are CYG, YHW, Z9, and ZZ zone. There is a satisfying match between assessment outcome and oil field practical development data, indicating it is effective and feasible to optimize low-permeability zones by means of gray target decision of multi-attribute with weight based on analytic hierarchy process.


Low-permeability Action of clout distance Zone optimization Evaluation index Feature vector 



This work has been supported by many people. The authors acknowledge them who contributed to the research and the paper.


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.China University of PetroleumBeijingChina

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