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A knowledge factor space model on multi-expert systems for oil-gas reservoir protection

Author

Listed:
  • Li Yang
  • Xinyu Geng
  • Xiedong Cao

Abstract

In this paper, a new knowledge expression method, factor state space, is used in multi-expert system for oil-gas reservoir protection. Firstly, by analysing relationship between object and factor, factors expression pattern of knowledge based on factor state space is presented. Secondly, formal description of analysis factor neural is proposed and Mamdani fuzzy reasoning model based on analysis factor neuron is analysed to solve the reasoning problem of the expert system. For illustration, an example is utilised to verify the effectiveness of the method. The application of the expert system shows that factor state space theory is valid in knowledge expression and reasoning model. As a result, our proposed method based on factor state space can effectively improve the accuracy of inference.

Suggested Citation

  • Li Yang & Xinyu Geng & Xiedong Cao, 2015. "A knowledge factor space model on multi-expert systems for oil-gas reservoir protection," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 19(1), pages 1-17.
    • Handle: RePEc:ids:ijisen:v:19:y:2015:i:1:p:1-17
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