我们使用一种称之为Cokriging(共克里格法)的地质统计方法,首先对数字模拟的储集层模型估算孔隙度的区域分布,然后在加拿大阿尔波特(Alberta)对含油河道砂进行实际估算。Cokriging方法全部汇集和综合利用3-D反射地震资料同孔隙度测井资料,并提供了孔隙度参数的误差“有限”的线性均方估算,常规地震辅助的孔隙度绘图技术把资料作为空间互不相关的孤立观测结果,与此相反,地质统计方法使用 We use a geostatistical approach called Cokriging (Common Kriging) that first estimates the regional distribution of porosity for a digitally-simulated reservoir model and then conducts oil-bearing channel sands in Alberta, Canada Actual estimation. The Cokriging method brings together and synthesizes 3-D reflected seismic data with porosity logs and provides a “finite” linear mean-square estimate of the error in porosity parameters. Conventional seismic-assisted porosity mapping uses data as a spatial In contrast to isolated observations, geostatistical methods are used