贝叶斯-序贯高斯模拟方法

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英文篇名：Bayesian sequential Gaussian simulation method 中文刊名：石油大学学报(自然科学版) 英文刊名：Journal of the University of Petroleum ; China 作者：印兴耀 ; 贺维胜 ; 黄旭日 英文作者：YIN Xing-yao ; HE Wei-sheng ; HUANG Xu-ri(Faculty of Geo-Resource and Information in China University of Petroleum ; Dongying 257061 ; China) 中文关键词：地震资料 ; 数据处理 ; 贝叶斯定理 ; 序贯高斯模拟 ; 分辨率 英文关键词：seismic data ; data disposing ; Bayes theorem ; sequential Gaussian simulation ; resolution 出版日期：2005-10-20 机构：中国石油大学地球资源与信息学院,中国石油大学地球资源与信息学院,中国石油大学地球资源与信息学院 山东东营257061 ,山东东营257061 ,山东东营257061 年：2005 期：05 出版单位：石油大学学报(自然科学版)

摘要

各种静态数据约束下的三维储层模型是指可以同时满足地震和测井数据的模型。研究了整合中等垂向分辨率地震数据的方法。引入贝叶斯定理的序贯高斯模拟方法,即贝叶斯序贯高斯模拟,用来整合中等垂向分辨率的地震数据,在给定地震频率的条件下,提高模型的分辨率。模拟结果表明,该方法能很好地整合中等垂向分辨率的地震数据,解决整合地震和测井数据存在的“体支撑”难题,生成高于地震垂向分辨率、低于或等于测井分辨率的三维储层模型。
The models constrained by many kinds of static data are representative as the models constrained by seismic data and well log data.The methods used to integrate seismic data of intermediate vertical resolution were studied.Sequential Gaussian simulation with Bayesian upgrading can be used to incorporate seismic data of intermediate vertical resolution into 3-dimensional reservoir models.Given a specific seismic frequency,the resolution of model by this method can be improved.The results of model show that the volume support problem can be addressed,and generate a model whose vertical resolution is higher than that of seismic data and lower than or equal to that of well log data by this method.

引文

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