APPLICATION OF FUZZY CLOSENESS DEGREE IN RESERVOIR RECOGNITION
Guoqing Feng · 1999
A neural network recognition method is established based on fuzzy closeness degree by combination of non-symmetric closeness degree in mathematics and neural network to overcome deviated interpretation which is resulted from losing information when tactics analysis is conducted by the maximum belonging rules in well logging interpretation. Practical interpretation of ling pan oilfield indicates the method will greatly improve the effect of interpretation