1) prefabricating pore media technology
孔隙预置
1.
The porous C/SiC composies was prepared by prefabricating pore media technology that adopt glass fiber as pore media,and its property was studied.
以玻璃纤维为成孔剂,采用孔隙预置技术制备了发汗多孔C/SiC复合材料。
2) Porosity Prediction
孔隙度预测
1.
An application of RBF neural network in reservoir porosity prediction;
径向基函数神经网络在孔隙度预测中的应用
2.
Application of neural network to reservoir porosity prediction;
选取储层的深度、厚度、岩性及砂地体积比 4个因素确立了预测孔隙度的神经网络结构 ,经网络的学习训练过程 ,确定了网络各层的连接权值 ,从而得到了稳定的孔隙度预测网络 。
3) porosity forecasting
孔隙度预测
1.
porosity forecasting using stepwise multielemental regression analysis;
利用逐步多元回归分析的孔隙度预测
4) prediction of porosity
孔隙率预测
5) Porosity parameter prediction
孔隙度参数预测
补充资料：预置
1.预先陈设。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条