基于前馈神经网络井控多属性融合的断裂识别方法

赵军, 冉琦, 朱博华, 李洋, 梁舒瑗, 常健强

A method for identifying faults based on well-controlled multi-attribute fusion using a feedforward neural network

ZHAO Jun, RAN Qi, ZHU Bo-Hua, LI Yang, LIANG Shu-Yuan, CHANG Jian-Qiang

图5 C井过井轨迹剖面 a—地震数据;b—AFE属性;c—相干属性;d—likelihood;e—纹理属性;f—倾角属性;g—深度学习融合属性

Fig.5 Cross well trajectory profile of well C a—seismic data; b—AFE; c—coherent; d—likelihood; e—texture; f—dip; g—deep learning fusion attribute