To predict reservoir characteristic 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。

youdao

After correctly selecting local characteristic parameters of the reservoir, such as shale content, grain diameter, pore throat, etc.

在渗透率的计算上充分结合该区储层特征，引入泥质含量、粒径大小、孔喉结构等影响因素。

youdao

Parameters sensitive to facture and vug reservoirs are chosen. Principles of integrated characteristic parameters in reservoir identification are introduced.

首先提取了对缝洞型储层反映敏感的测井比值参数，介绍了用于储层识别的综合特征参数的原理；

youdao