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

Authors: Li Yang; Xinyu Geng; Xiedong Cao

Addresses: School of Computer Science, Southwest Petroleum University, Chengdu, 610500, Sichuan, China ' School of Computer Science, Southwest Petroleum University, Chengdu, 610500, Sichuan, China ' School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, Sichuan, China

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.

Keywords: analysis factor neuron; factor state space; oil reservoirs; gas reservoirs; reservoir protection; expert systems; systems engineering; knowledge expression; fuzzy reasoning; inference.

DOI: 10.1504/IJISE.2015.065942

International Journal of Industrial and Systems Engineering, 2015 Vol.19 No.1, pp.1 - 17

Available online: 11 Nov 2014 *

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