Cokriging法中孔隙度面函数和间隔传播时间面函数的模拟
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摘要
将密集的地震数据与钻井地球物理测量数据结合可以细致地预测孔隙度的空间分布.对此,Cokriging地质统计逼近法提供了较有效的方法.如何把区域上密集的地震勘探信息与钻井地球物理测量信息有机地联系在一起,是实现Cokriging法的关键问题.本文试图利用区域上已知稀疏井的孔隙度数据与储层中地震波间隔传播时间的空间相互依赖关系,构造特定相关结构的双变量随机过程{φ(r),T(r)},亦即构造孔隙度面函数和储层间隔传播时间面函数,为进一步应用Cokriging法预测孔隙度空间分布奠定基础.
Consistent integration between the dense seismic measurements and the geophysical well measurements can be used to accuratly predict the spetial distribution of porosity. And the Cokriging geostatistical approach proposes an effective scheme for the consistent integration. It is the key of the Cokrigiing approach how to reasonablly connect the dense seimic information with the geostatistical well information. In this paper, a bivariate random field (Φ(γ) ,T(γ)) of the spetial correlation structure, the porosity surface function and the interval transit time surface functiion in resevior, is established by using the spetial relationship between the porosity data in areas of known sparse wells and the interval transit time of the seismic wave in resevoir.
引文
1 Philippe M.Doyen.Porosity from seismic data:A geostatistical approach.Geophysics,1988,53(10) :1263~1275
    2 何樵登.地震勘探原理和方法.北京:地质出版社,1986
    3 王仁铎,胡光道.线性地质统计学.中国地质大学出版社,1984
    4 张卿.积分变换.长春地质学院,1984
    5 浙江大学数学系.概率论与数理统计.北京:人民教育出版社,1981

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