期刊文献+

相带控制下协克里金方法孔隙度预测 被引量:15

Porosity prediction with co-Kriging method controlled by sedimentary facies
下载PDF
导出
摘要 针对东营凹陷南坡沙四段浊积岩砂岩储层纵横向物性变化剧烈的特点,在协克里金方法空间估计理论方法基础上,提出相带控制下协克里金孔隙度预测方法.从定量角度对沉积相加以刻画,在三维空间协同克里金估值计算时,使用相控因子对估值进行约束,使得结果能够更好地反映储层物性如孔隙度的空间展布特征.加入相带控制处理后,使变异函数较早达到基台值,减小理论模型拟合误差.利用该技术方法估算了沙四段第1小段的孔隙度,利用抽稀井进行对比分析,估算结果误差较小,预测值接近真实值,证实了该方法的有效性. The physical characteristics of turbidite sandstone reservoir on the southern slope of Dongying sag change dramatically in the vertical and lateral direction. Porosity prediction with co-Krigine method controlled by sedimentary facies is proposed to predict the porosity in this complicated area, based on the theory of space estimation with Kriging method. First, the sedimentary facies are delineated quantitatively and then the value estimation is carried out with co-Kriging method in 3D space constrained by the facies-controlled factors, which makes the results reflect the spatial distribution of porosity better. The facies-controlled process get the variation function reach base stations value earlier and reduce fitting error of theoretical model. The porosity of the first section of Es4 member is estimated by this technique. The estimation error is proved to be small by comparison with the measured data in the selected wells, which reflects the validity of this technique.
出处 《地球物理学进展》 CSCD 北大核心 2012年第4期1581-1587,共7页 Progress in Geophysics
基金 国家高技术研究发展计划973(2009AA093401)资助
关键词 相控因子 协克里金 孔隙度 变异函数 数值模拟 facies-controlled factor, co-Kriging, porosity estimation, variation function, numerical simulation
  • 相关文献

参考文献22

二级参考文献101

共引文献228

同被引文献243

引证文献15

二级引证文献88

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部