西南石油大学学报(自然科学版) ›› 2010, Vol. 32 ›› Issue (4): 56-66.DOI: 10.3863/j.issn.1674-5086.2010.04.011

• 地质勘探 • Previous Articles     Next Articles

PROPERTY ANALYSIS AND STOCHASTIC MODELLING OF FRACTURED RESERVOIRS

TANG Yong1 MEI Lian-fu1 TANG Wen-jun2 CHEN You-zhi1 HU Zhi-wei1
  

  1. (1.MOE Key Laboratory of Tectonics and Petroleum Resources,China University of Geosciences,Wuhan Hubei 430074,China;2.Cainan Operation District of Xinjiang Oilfield Company,CNPC,Fukang Xinjiang 831511,China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-08-20 Published:2010-08-20

Abstract: Compared with conventional reservoirs,fractured reservoirs have a higher heterogeneity due to the existence of fractures.The key of describing this type of reservoir lies in a complete and accurate quantitative description of fracture networks.The purpose of modeling fractured reservoir is integrating the information and data of relevant fractures,making a statistical analysis and spacial analysis of the fracture characteristics with the optimal probability distribution function,and choosing a theoretical model according to the regional geologic background and research purposes.According to this principle,a multidisciplinary analysis on the probabilistic simulation method of fractured reservoir is made.From the analysis,some conclusions are made as follows.First,the nonlinear analysis method can reduce the errors caused by the integration of multi source and multiscale data maximally.The fracture data analyzed comprehensively is comparatively good.Second,we can draw a relatively reasonable conclusion with circular statistics method and artificial intelligence method when we analyse fracture attributes.Third,compound model cannot only show the discreteness of fractures but also reflect the continuous effect of fractures.However,due to the complexity of the fracture development,fracture modeling still need to be improved by multidisciplinary analysis and multi technique research.

Key words: fractured reservoir, nonlinear ananlysis, stochastic modeling, attribute features, continuity

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