Oil & Gas Geology ›› 1996, Vol. 17 ›› Issue (1): 68-70.doi: 10.11743/ogg19960113

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APPLICATION OF AN ARTIFICIAL NEURAL NETWORK TO EVALUATING CONDITIONS OF HYDROCARBON GENERATION

Sun Shuxia, Wu Zheng, Bei Feng   

  1. Chengdu Institute of Technology, Chendu
  • Received:1995-03-29 Revised:1995-09-28 Online:1996-03-25 Published:2014-01-14

Abstract:

According to the geological model for evaluating condition of hydrocarbon generation,an artifical neural network with three-layer networks,multi-imput and single output isbuilt. The hidden layer consists of four neural cells'This neural network can acquire weightby itself, and modify constantly the connections between the cells. The weight-assigned connections are automatically built by the artifical neural network, thus renewing the old methodof manned weight-assignment. This method is more objective and accurate.The method isused to evaluate the hydrocarbon generation condition of the Ordovician System in OrdosBasin, the result is basically the same as that of the expert system.