利用伪随机路径提高序贯指示建模精度  

Using pseudo-random path to improve sequential modeling precision

作　　者：尹艳树[1] 张昌民[1] 李少华[1] 

机构地区：[1]长江大学,湖北荆州434023

出　　处：《特种油气藏》2009年第4期25-27,共3页Special Oil & Gas Reservoirs

基　　金：国家自然科学基金"基准面旋回理论解析与定量层序地层模型"(40572078);国家自然科学基金"三角洲储层密井网地质知识库建立及其应用"(40602013)联合资助

摘　　要：传统序贯指示建模中产生随机路径时未能考虑条件数据,与实际地质研究不符,导致所建立模型不确定性增加。为此,结合沉积微相研究方法,在序贯指示建模中通过伪随机路径优先考虑条件数据点周围待估点,利用条件数据确定信息减弱预测中的不确定性,提高建模精度。比较研究证明,利用伪随机路径的序贯指示建模能够减弱传统建模方法的不确定性,提高模型精度。This paper provides a pseudo-random path to improve the precision of sequential modeling. The traditional sequential modeling doesn’t consider conditional data when generating random path and disaccords with geological study, thus increased model uncertainty. With combination of the study of sedimentary microfacies, the points to be estimated around conditional data points are considered with priority through pseudo-random path. The uncertainty in attenuation forecast is determined by using conditional data to improve modeling precision. The comparative study indicates that sequential modeling using pseudo-random path can decrease the uncertainty of traditional modeling method and enhance the precision of the model.

关 键 词：伪随机路径 序贯指示建模 不确定性 地质模型 

分 类 号：TE122.2[石油与天然气工程—油气勘探]