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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 1999  >  21(2): 166-169
QIU Liwei, KANG Zhijiang. APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO RESERVOIR DESCRIPTION[J]. PETROLEUM GEOLOGY & EXPERIMENT, 1999, 21(2): 166-169. doi: 10.11781/sysydz199902166
Citation: QIU Liwei, KANG Zhijiang. APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO RESERVOIR DESCRIPTION[J]. PETROLEUM GEOLOGY & EXPERIMENT, 1999, 21(2): 166-169. doi: 10.11781/sysydz199902166
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APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO RESERVOIR DESCRIPTION

doi: 10.11781/sysydz199902166

  • Institute of petroleum, CNSPC, Beijing 100083, China

  • Received Date: 1998-10-20
  • Publish Date: 1999-04-25
    Abstract
  • The normal logging explaination methods based on experience formulas and the linear hypothesis show lower accuracy and successful rate.The artificial neural networks technique can adapt itself,learn itself.It has well prospect in logging explaination.This paper provides a case to illustrate the advantage of the artificial neural network technique in logging porosity explaination.

     

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    • References(2)
  • [1]
    包约翰.自适应识别与神经网络.北京:科学出版社,1992
    [2]
    Richard P L. An Introduction to Computing with Neural Nets. IEEE ASS P Magz,1987,(4):4～22
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