Reservoir Evaluation and Development ›› 2018, Vol. 8 ›› Issue (1): 71-75.

• Non-conventional Reservoir • Previous Articles     Next Articles

Application of fuzzy similarity methods for evaluating the district of shale gas: A case of marine shale gas in Sichuan Basin

Wang Sihang1,Tian Xiaolin2,Wang Chuke3,Feng Yongguang2,Wu Deqiang2,Bai Jiaquan2,Li Hui1,Kong Decai2   

  1. 1. Management Committee of Zhongjiang Economic Development Zone, Sichuan, Deyang, Sichuan 618100, China
    2. 106 Geological Team of Sichuan Geology and Mineral Resources Exploration Bureau, Chengdu, Sichuan 611130, China
    3. Large Data and Information Engineering College of Guizhou University, Guiyang, Guizhou 550025, China
  • Received:2016-11-15 Online:2018-12-05 Published:2018-02-26

Abstract:

At present, the optimizing evaluation indexes of the existing favorable target areas of shale gas, is not comprehensive, and the evaluation methods are not taking full advantage of the uncertain information indexes. Therefore, the enrichment, accumulate, and storage of the shale gas, and the surface condition of the exploration and development are analyzed. On this base, by combining the successful exploring experience of the shale gas aboard with the characteristics of the domestic marine shale gas accumulation, we selected 13 comprehensive evaluation indexes, including the netshale thickness and the organic carbon content of the shale gas favorable target areas, and proposed the corresponding classified evaluation standards. Because of the thick shale gas reservoir, the heterogeneity and the lack of the geological awareness of the evaluation parameters, the interval value of the evaluation indexes replaced the average value of the uncertain information evaluation index, and the fuzzy similarity evaluation method based on the fuzzy similar theory was established. The calculation results show that, compared with the comprehensive information superposition method, this method is more reasonable, effective, simple and useful. It can provide reliable evidences for the optimal of the favorable target areas of shale gas.

Key words: fuzzy similarity method, fuzzy similarity coefficient, marine shale gas, target area of shale gas

CLC Number: 

  • P618