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

表2 部分样本点属性值及断面类型参数

Table 2 Attribute values and fracture type of partial sample points

样本点 AFE 相干 likelihood 纹理 倾角 属性 断面类型 A井ls_2 255 -90 0.95 7.94 16.33 2 B井ls_2 0 117 0 0.76 5.69 0 B井ls_3 0 -43 0.79 3.59 6.53 2 C井ls_1 0 60 0 0.67 1.71 1 D井ls_1 0 109 0 0.75 1.7 0 D井ls_2 55.99 -39 0 3.42 5.26 2