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ＷｏＳ .介绍了一种新方法 ,应用放射作用 (ＲＢＦ)网络 ,从过去的自然γ和中子计数测井记录中生成伪交会密度 -中子孔隙度和伪深侧向测井曲线。研究结果表明 ,经过训练的ＲＢＦ网络 ,只需将自然γ曲线和中子计数率输入网络就可以识别高电阻率地层段 (页岩低产段 )。这种新技术
WoS. Introduced a new method to generate pseudo-intersection density-neutron porosity and pseudo-deep lateral logs from past natural gamma and neutron count logging using the Radiation Function (RBF) network. The results show that the trained RBF network can identify high resistivity formations (low shale productivity) simply by inputting natural gamma curves and neutron count rates into the network. This new technology