Geostatistical parameters for 3d microfacies modeling can be picked up effectively using horizontal well and nearby outcrop data.
应用水平井资料和露头资料，可有效地提取三维建模所必须的地质统计学参数。
It establishes reservoir microfacies using modeling software to realize quantitative application of well logging interpretation.
并结合建模软件建立储层沉积微相模型，实现了测井解释成果的定量化应用。
A new comprehensive method for predicting reservoir microfacies by integrating multiple stochastic modeling methods was presented.
提出了将多种随机建模方法综合预测储层微相的新方法。
The technique of sequential indication modeling would be used to represent the characteristics of facies sequence changes, reflect the distribution of sedimentary microfacies of reservoirs.
顺序指示建模技术能够真实的再现相序变化特征，反映储层沉积微相的分布。
Geological knowledge about microfacies sand bodies gives the foundation for stochastic reservoir modeling.
微相砂体的地质知识是储层随机建模的基础。
Geological knowledge about microfacies sand bodies gives the foundation for stochastic reservoir modeling.
微相砂体的地质知识是储层随机建模的基础。
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