关键词: 苏里格气田, 低渗透储层, 模式识别, 成岩储集相, 遗传神经网络

Abstract: The sedimentary facies,diagenesis and micro pore structure of the Permian reservoir in Sulige Gas Field were studied.The effects of diagenesis of lowpermeability reservoir on the reservoir property were analyzed.The lowpermeability reservoir in this area was resulted from strong compaction,infilling and cementation of autogenetic mineral during diagenesis period.The parameters of flow zone index,porosity,permeability,median grain size,mud content,mean radius of porethroat,and variance coefficient were used to establish the study and prediction models.The genetic artificial neural network method was applied to recognize four types of diagenetic reservoir facies in the Permian of Sulige Gas Field,including the secondary pores diagenetic reservoir facies with solution of unstable ingredients,secondary pores diagenetic reservoir facies with solution of carbonate cement,residual intergranular pores diagenetic reservoir facies with strong compaction and cementation,and tight diagenetic reservoir facies with extremely strong compaction and cementation.The characteristics of these diagenetic reservoir facies were analyzed.According to sedimentary facies,the timespace distributions of diagenetic reservoir facies were determined.

Key words: Sulige Gas Field, low permeability reservoir, pattern recognition, diagenetic reservoir facies, genetic artificial neural network