Study on mathematical model of well bore locus prediction based on wavelet-neural network
Qingyou Liu · Journal of Machine Design · 2008
Take the complicated well drilling system as a foundation,picking up data from simulation test on the established model of aiguille displacement.Carrying on the wavelet analysis reconstruction on the gained well bore locus-time sequence,the smooth random sequence,periodical sequence and non-smooth trend sequence were gained respectively.And let the gained smooth random sequence,periodical sequence and non-smooth trend sequence be regarded as the input layer to construct the locus prediction model of wavelet-neural network so as to sufficiently bring the multi-resolution function of wavelet analysis and the ability of non-linear approach of artificial neural network into play.Through experimentation it is verified that this model could efficiently enhance the prediction accuracy and prolong the time of forecast,this would provide new theoretical basis and method for the prediction study on well bore locus of complex well drilling system.