Advances in Earth Science ›› 2015, Vol. 30 ›› Issue (6): 715-723. doi: 10.11867/j.issn.1001-8166.2015.06.0715

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Application of AHP Method to Favorable Area Optimization for Tight Oil:A Case Study in Daanzhai Formation, Jurassic, Central of the Sichuan Basin

Wang Shaoyong, Li Jianzhong, Guo Qiulin, Li Denghua   

  1. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China
  • Online:2015-06-25 Published:2015-06-25

Wang Shaoyong, Li Jianzhong, Guo Qiulin, Li Denghua. Application of AHP Method to Favorable Area Optimization for Tight Oil:A Case Study in Daanzhai Formation, Jurassic, Central of the Sichuan Basin[J]. Advances in Earth Science, 2015, 30(6): 715-723.

The Analytic Hierarchy Process (AHP) is a decision-making method which permits the relative assessment and prioritization of alternatives under complex contexts. This method is also applied to petroleum exploration. Based on the previous geological characteristics study,we outlined the favorable area optimization criteria of tight oil. The hierarchical model and two matrices are key contents of favorable area optimization in AHP. A case study in Daanzhai Formation,Jurassic,central Sichuan Basin was presented to show the five main steps of AHP optimization. First of all, a goal and alternatives should be determined according to the geological characteristics of the studied area. The second step is to select the favorable area optimization criteria of tight oil. According to qualitative judgment of relative importance of these criteria,then a pairwise comparison matrix can be constructed. The last but one step is to construct judgment matrices of each alternative to determine the weight of each alternative in different criteria. Finally,the multiplication of eigenvectors of the pairwise comparison matrix and judgment matrices will show the rank of each alternatives. In the Daanzhai tight oil case,the favorable exploration target is Jinhua-Lianchi Block. The advantages of AHP optimization are simple operation steps,unrestricted limit values and wide application range. However,the appraisal result varies by evaluator for the 9point scale is typical subjective or linguistic equivalents. AHP can be combined with GIS,Delphi process or fuzzy method to increase the rationality of optimization and the accuracy of scale calibration.

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