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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 2000  >  22(3): 276-279
LIU Yong-jian, SHEN Jun, LIU Yi-jian, WANG Lin. AN ARTIFICIAL NEURAL NETWORK-BASED METHOD FOR EVALUATING THE OIL PROSPECTS OF ROCKS[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2000, 22(3): 276-279. doi: 10.11781/sysydz200003276
Citation: LIU Yong-jian, SHEN Jun, LIU Yi-jian, WANG Lin. AN ARTIFICIAL NEURAL NETWORK-BASED METHOD FOR EVALUATING THE OIL PROSPECTS OF ROCKS[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2000, 22(3): 276-279. doi: 10.11781/sysydz200003276
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AN ARTIFICIAL NEURAL NETWORK-BASED METHOD FOR EVALUATING THE OIL PROSPECTS OF ROCKS

doi: 10.11781/sysydz200003276
  • 1.

    Guangdong Industrial University, Guangzhou, Guangdong 510500, China

  • 2. 407 Geological Party, Hunan Bureau of Geology and Exploration, Huaihua, Hunan 418000, China

  • 3. Jingzhou Institute of New Prospect Exploration, SINOPEC, Jingzhou, Hubei 434100, China

  • Received Date: 2000-01-10
  • Rev Recd Date: 2000-04-30
  • Publish Date: 2000-07-25
    Abstract
  • The calculating method of neural networks is a new way to discuss problems by simulating the mechanism of activities of human body network systems. Based on the SOM artificial neural network model advanced by T. Kohonen, an artificial network model for evaluating the oil prospects of rocks is built in this paper by taking the main reservoirs of Cainan oil field in the Junggar Basin as an example. The case study indicates that the method of artificial neural networks has good performance and is an effective way to evaluate the oil prospects of rocks.

     

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    • References(4)
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    靳蕃.神经网络与计算机[M].成都:西南交通大学出版社,1991.
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