A BP Neural Network Model to Predict Reservior Parameters

Authors

Kaoping Song, Petroleum Engineering Department, Daqing Petroleum Institute, ChinaFollow
Jingbo Shen, Computer Science Department, Daqing Petroleum Institute, China
Jinghui Li, Computer Science Department, Daqing Petroleum Institute, China

Document Type

Article

Abstract

This paper proposes an artificial neural network (ANN) method to calculate reservoir parameters. By improving the algorithm of BP neural network, convergence speed is enhanced and better result can be achieved. Practical applications prove that neural network technique is of significant importance for reservoir description.

Recommended Citation

Song, Kaoping; Shen, Jingbo; and Li, Jinghui, "A BP Neural Network Model to Predict Reservior Parameters" (2001). ICEB 2001 Proceedings (Hong Kong, SAR China). 97.
https://aisel.aisnet.org/iceb2001/97