Xinjiang Petroleum Geology ›› 2001, Vol. 22 ›› Issue (4): 340-341.

Previous Articles     Next Articles

Application of Artificial Neural Networks to Reservoirs Parameters Prediction

HU Xiang-yang, XIONG Qi-hua, WANG Zhi-zhang   

  • Received:2000-10-31 Published:2020-09-08
  • About author:HU Xiang-yang(1964-), Male, Doctor Candidate of Geoscience Department of Petroleum University(Beijing), Beijing, 102200, China

Abstract: The conventional method for prediction of well logging reservoir parameters based on experimental mod-els and statistical models shows lower accuracy and lower successful rate. The artificial neural network is a non-liner dynamic system. It has well prospect in logging interpretation and reservoir parameters prediction. This paper provides a case to illustrate the adv antage of the artificial neural network technique in logging porosity parameters prediction.

Key words: neural network, porosity, reservoir, prediction

CLC Number: