Patent ID: 11922679
Assignee: XI'AN JIAOTONG UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The automatic seismic facies identification method of claim 3, wherein the step of “building a seismic facies identification model by using the encoder, the decoder, and a Hypercolumn module” comprises:
introducing a Hypercolumn structure to fuse output feature maps {d(i)}i=04 of the four stages of the decoder to obtain a fused feature map; and performing pixel-level seismic facies classification on the fused feature map through the following formulas:

{circumflex over (d)}(i)=Linear[Ci,C](d(i))  (5);

{circumflex over (d)}(i)=Upsample[2i×]({circumflex over (d)}(i))  (6);

dƒ=Linear[5C,C](Concat({circumflex over (d)}(i)))  (7); and

M=Linear[C,NC](dƒ)  (8);

wherein Upsample [2i×] represents a bilinear interpolation for 2i×upsampling; concat(·) represents a concatenation operation along the channel dimension; Linear[C,NC] is a linear mapping from a dimension C to a dimension NC; NC is the number of seismic facies types; the encoder and the decoder together form the U-shape network architecture; the encoder is located at one side of the U-shape network architecture, and the decoder is located at the other side of the U-shape network architecture; and features of each stage of the decoder are fused by the Hypercolumn structure, and the fully connected layer is configured to transform the channel dimension to the number of seismic facies types for seismic facies classification.