利用地震属性预测渗透率

英文篇名：PERMEABILITY PREDICTION BY SEISMIC ATTRIBUTE DATA
中文刊名：石油学报
英文刊名：Acta Petrolei Sinica
作者：何琰 ; 彭文 ; 殷军
英文作者：HE Yan ; et al.(Southwest Petroleum lnstitute ; Nanchon g 637001 ; China)
中文关键词：渗透率 ; 地震属性 ; 属性优化 ; 遗传BP神经网络
英文关键词：permeability ; seismic attribute ; attrib ute optimization ; genetic BP neural network
出版日期：2001-11-25
机构：西南石油学院勘探系,四川石油地调处,四川石油地调处四川南充637001 ,四川南充637001 ,四川南充637001
年：2001
期：06
出版单位：石油学报

摘要

储层岩石的渗透率分布的不均匀性直接影响油气分布、运移以及开采。目前 ,在井资料十分有限的勘探初期 ,利用地震资料难以预测渗透率。因此 ,探讨利用地震属性预测渗透率具有重要的理论和实际意义。地震属性数据预测渗透率的 Rough Set(RS)与 Genetic Algorithm BP(GABP) (粗集与遗传 BP神经网络 )相结合的方法预测渗透率得到了令人满意的结果。表明 :1利用地震属性在勘探早期预测储层的渗透率是完全可能的 ;2应用实例表明 ,该方法的预测精度较高。因此 ,本方法将成为地震数据预测渗透率的有效手段。
The heterogeneity of the permeability distribute of rock directly influences the distribution,migration and production of hydrocarbons.At present,it is hardly p ossible to apply seismic data to predict permeability in the early period of exp loration when the well is not enough for founding the statistical relationship.I n this paper,it is very significance to discuss the problem that apply the seism ic attribute data to predict permeability.We briefly introduce the procedure of the RS and GABP to predict permeability.The application result indicates that:1. it is possible to apply seismic attribute data to predict permeability in explor ation early-stage; 2.the method is very effective.So it can become an effective means for permeability prediction with seismic data.

引文

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