摘要
指示克立格是一种非参数统计方法，它能在不舍弃特异值的条件下进行有效的空间估计。协同克立格以协同区域化变量为研究对象，充分考虑了变量的空间相关性和变量间的统计相关性，有着单变量克立格法无可比拟的优点。因而，本文提出协同指示克立格法这一方法，在指示克立格中考虑多变量的空间相关性和变量间的统计相关性，使指示克立格与协同克立格相互补充，模拟现实，提高预测精度。并以胜利油田罗家砂四上砾岩为例进行参数预测，结果表明该方法预测精度明显高于普通克立格、协同克立格和指示克立格。
Indicator Kriging is a nonparametric statistical method which can make spatial estimation without abandoning peculiar value of reservoir parameters.However,in the application of this method,enough geological information is needed,or considerable errors occur.CoKriging,in which the spatial correlativity varoables and statistical correlastivity intervariables are considered,takes coregional variables as research ovject and has obvious advantage over Indicator Kriging.However,ghis method can not resolve the peculiar value existing in the reservoir parameters.In this paper we propose Co Indicator Kriging meghod in which more spatial correlativity variables and statistical correlativity variables ane considered.Co Indicator Kriging and CoKriging can complement each other,simulate practical cases and improve the precision of estimation.The porosity and permeability data from the Luojia Memver 4 conglomerate in Shengli Oil Field are chosen as a practical example to predict the porosity and permeability by mean of Co Indicator Kriging.The final result shows that the prediction precision made by Co Inicator Kriging is better than that made by any other Kriging method.
出处
《矿物岩石》
CAS
CSCD
北大核心
1999年第3期65-68,共4页
Mineralogy and Petrology
关键词
指示克立格
协同克立格
储层
物性参数
油田
Indicator Kriging CoKriging Co-Indicator Kriging Co Ind icator variance function
