Forecasting methods of oil field development indexes based on T-S reasoning networks
Panchi Li · Jisuanji yingyong yanjiu · 2011
Aiming at the forecast of oilfield development indexes,this paper proposed a T-S reasoning unit that included input layer,fuzzification layer and reasoning layer.Each T-S reasoning unit corresponds to a fuzzy logic rule,and a lot of T-S reasoning units may constitute a T-S reasoning networks.The adjustable parameters of proposed model included the fuzzy set parameters and fuzzy rule parameters.For determining these parameters,it presented an improved quantum particle swarm optimization.With forecast of moisture content and oil production as an example,the experimental results show that this method is effective and that the integration of fuzzy logic and intelligent optimization algorithms has a certain potential for solving problems of indicators forecast.