To predict reservoircharacteristic parameters of four regions exactly, a method based on the attribute reduction by the rough set and SVR is presented.
为了更准确的预测油藏四个区域的物性参数，本文提出了结合粗糙集属性约简和支持向量机回归的方法。
2
The principal technique of reservoir thickness prediction is wave impedance characteristic analysis.
储层厚度预测的核心技术是波阻抗特征分析技术。
3
As a parameter representing the dynamic characteristic, gas reservoir performance is one of main indices for reservoir evaluation.