提出了将多种随机建模方法综合预测储层微相的新方法。
A new comprehensive method for predicting reservoir microfacies by integrating multiple stochastic modeling methods was presented.
在沉积微相研究的基础上，通过交叉验证的方法实施储层参数定量预测。
On the basis of the sedimentary microfacies study, the collector parameter quantitative prediction was alternately verified.
这些沉积微相特征对储层物性的预测都具有重要意义。
The identification of these characteristics is significant for reservoir quality prediction.
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