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

Claim 7:
8. The method for predicting the permeability of the multi-mineral phase digital core based on deep learning according to claim 6, wherein in step 4.7, a calculation formula of the accuracy rate of the SE-ResNet18 convolutional neural network is:, R
     =
     
      
       1
       n
      
      ⁢
      
       
        ∑
         
       
       
        j
        =
        1
       
       n
      
      ⁢
      
       
        |
        
         
          k
          j
          ′
         
         -
         
          k
          j
         
        
        |
       
       
        k
        j
       
      
     
    
   
   
    
     (
     3
     )
    
   
  
 

wherein R is the accuracy rate of the trained SE-ResNet18 convolutional neural network; n is a total number of pieces of sample data in the test set; j is a number of sample data; kj is a label of a jth sample data in the test set; and kj′ is a calculated permeability value of the jth sample data in the test set.