油气地质与采收率2017，Vol.24Issue(3)：37-43,7.
基于马尔科夫-贝叶斯模拟算法的多地震属性沉积相建模方法——以苏里格气田苏10区块为例
A method of sedimentary facies modeling through integration of multi-seismic attributes based on Markov-Bayes model:An example from Su10 area in the north of Sulige gas field
摘要
Abstract
During the early stage of evaluation of the gas field development with less well data,the established sedimentary facies model has great uncertainty only based on well data information,which is difficult to meet the accuracy requirements of geological research.Thus it is becoming more and more important to be constrained by the multi-seismic attributes for sedimentary facies modeling.Firstly under the model of Baycs,the local prior probability distributions was built,and then the probability was updated into the posterior distributions with the neighboring well data and seismic attributes data.During the updating,Markov assumption could be used to solve the problem of instability of cross matrix for different variables,and at last the sedimentary facies could be modeled through random sampling from posterior distributions of modeling points.Taking the example of the Su 10 area in the north of Sulige gas field,the relationship between seismic attributes and sedimentary facies was analyzed firstly and four types of seismic attributes were chosen including RMS amplitude,average instantaneous frequency,effective bandwidth and attenuation.Considering the problem encountered in the computation of multi-variable cross-covariance,the fusion of multi-seismic attributes was calculated to obtain their fusion probability based on Markov-Bayes model,by which a sedimentary facies model could be built.The result demonstrates that simulation result keeps an over 80 percent agreement with a sedimentary facies model drawn in hand.The prediction error is considered to be within 1％ through the analysis of cross-validation.关键词
沉积相建模/地震属性/先验概率分布/后验概率分布/马尔科夫-贝叶斯模拟算法/苏里格气田Key words
sedimentary facies modeling/seismic attribute/prior probability distribution/posterior probability distribution/Markov-Bayes model/Sulige gas field分类
能源科技引用本文复制引用
袁照威,陈龙,高世臣,段正军..基于马尔科夫-贝叶斯模拟算法的多地震属性沉积相建模方法——以苏里格气田苏10区块为例[J].油气地质与采收率,2017,24(3):37-43,7.基金项目
国家科技重大专项“大型油气田及煤层气开发”(2016ZX05014-001). （2016ZX05014-001）
