摘要
地质统计学中的变差函数是定量刻画地质变量空间相关性的重要工具。在随机反演过程中,针对不同类型的区块和油田,选用合适的函数类型及相应的模型参数,对提高反演结果的精度显得尤为重要。以古龙油田古83区块为例,分析了常用的变差函数Gaussian、Spherical、Expo、Gen-Expo方法及其在不同变程参数下对随机反演结果的影响。从试验结果可以看出,该区块选用Expo型变差函数,设置平面变程为3000m,垂向变程为3m时反演预测精度较高。
Variation function was an important tool to characterize the spatial correlation of geological variable quantitatively in geo-statistics. In the random inversion process,for different types of blocks and oilfields,the appropriate function type of corresponding model parameters were chosen to improve the accuracy of inversion results,which was particularly important. By taking Block Gu83 in Gulong Oilfield for example,the influence of common variation functions such as Gaussian,Spherical,Expo and Gen-Expo method on random inversion results were analyzed under different variable distance parameters. From the experimental results,the inversion prediction precision is higher in this block under the following situations for Expo variation function,horizontal variable distance is 3000 meters and vertical variable distance is 3 meters.
出处
《石油天然气学报》
CAS
CSCD
北大核心
2010年第2期253-256,共4页
Journal of Oil and Gas Technology
关键词
变差函数
变程参数
随机反演
预测精度
variation function
variable distance parameter
random inversion
prediction precision
