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Application of Fracture Prediction Technology in Qingxichang Area

  

  1. Hu Weiguang,Pu Yong,Xiao Wei,Zhao Zhuonan,Xiao Jilin//Research Institute of SINOPEC Exploration Southern Company,Chengdu City,Sichuan Province 610041
  • Published:2010-12-15

Abstract: Through the study on drilling data and gas test case in Qingxichang Area in northeastern Sichuan, it is found that the fractured gas reservoir is distributed unevenly in Feixianguan Formation. High-pressure fractured gas reservoir is drilled in Well QX1 and Well XQX1, but Well QX2 and Well QX3 are in vain. Therefore, it is necessary to study the distribution of fractures in the area. Firstly, the logging data of Well QX2 are used for rock physical forward model study and it is found that the fractured gas reservoir exhibits AVO response. Secondly, based on the anisotropic theory of subsurface media in seismic wave propagation, pre-stack seismic data are used to study the azimuthal attribute and pre-stack gathers of different angles of incidence of seismic data. Starting with the analysis of the variation of pre-stack seismic attribute with the azimuth and the angle of incidence, the distribution characteristics of fractured reservoir at top of Feixianguan Formation in Qingxichang structure are characterized and described. Thirdly, post-stack coherence attribute slice is used to analyze the fractured reservoir in the area, and numerical simulation for tectonic stress field is applied to verify the fracture system in the area. The results show that fractures developed in top reservoir of Feixianguan Formation, detection of anisotropic characteristics has good effect on fracture prediction in the area, and abnormal low FVO gradient on plane is consistent with anisotropic detection. But the results of numerical simulation of coherence attribute slice and tectonic stress field are relatively poor. Comparative study is conducted on the fractured reservoir drilled at top of Feixianguan Formation, and it is shown that anisotropic detection results correspond well to the data of drilled wells in the area, the fracture strike predicted at the drilling site is identical with that interpreted based on log data.

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