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应用该种方法将露头知识库用于油田地质建模有助于提高井间储层预测的精度和准确性。
It is proved that the application of outcrop database to oil reservoir modeling is successful. This method can improve the prediction accuracy of inter-well reservoir.
结论基于神经网络模型的井间参数预测方法，可以为储层精细评价提供高质量的油藏地质模型。
Conclusion The method of parameter predict can provide a high quality oil pool geological model for reservoir fine evaluation.
为了有效预测电梯的层间交通分布状态，提出一种层间交通O-D矩阵的预测方法。
In order to efficiently forecast the elevator interfloor traffic distribution state, a method to predict the interfloor traffic O-D matrix is presented.
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