Patent ID: 11954417
Assignee: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The method for predicting the permeability of the multi-mineral phase digital core based on deep learning according to claim 6, wherein in step 4, the loss function is set as:, MSE
     =
     
      
       1
       m
      
      ⁢
      
       
        ∑
         
       
       
        i
        =
        1
       
       m
      
      ⁢
      
       
        (
        
         
          k
          i
          ′
         
         -
         
          k
          i
         
        
        )
       
       2
      
     
    
   
   
    
     (
     2
     )
    
   
  
 

wherein MSE is the loss function of the SE-ResNet18 convolutional neural network; m is a total number of pieces of sample data; i is a number of sample data; ki is a label of an ith sample data; and ki′ is a calculated permeability value of the ith sample data.