西南石油大学学报(自然科学版) ›› 1995, Vol. 17 ›› Issue (2): 31-36.DOI: 10.3863/j.issn.1000-2634.1995.02.05

• 地质勘探 • Previous Articles     Next Articles

Application of BP Neural Network to Calculation of Reservoir Porosity of Moxi Gas Field

Xia Hong-quan Liu Hong-qi Zhang Hong-wei
  

  1. (Dept. of Petroleum Exploration)
  • Received:1994-11-02 Revised:1900-01-01 Online:1995-04-20 Published:1995-04-20

Abstract:

Neural network is a new information processing technique,which can be used to solve the problems of log interpretation, pattern recognition and parameter estimation in reservoir description. Using the formation porosity and logging data of cored well of Moxi gas field,we have successfully applied Back Propagation Network to the establishment of a prediction model of calculating formation parameters-porosity. Compared with the traditional methods—Regression equation,Grey equation and log interpretation,its precision and predicted result are rather satisfactory. Thus this method is well worth popularizing.

Key words: Formation porosity, Log interpretation, Parameter mode, NP Network

CLC Number: