A novel signal processing algorithm for measurement while drilling (MWD) system

Measurement while drilling (MWD) is a widely used signal transmission technology in the drilling process. At present, the domestic pulse identification method is relatively simple, using the basic threshold method to identify, only set the threshold which will leading a number of missing detection mud pulse in the complex working conditions. In this paper, a novel data processing algorithm is proposed for measurement while drilling system. The method designed in this paper identifies the start time of data frame by using correlation coefficient and synchronization head model, then, based on the principle that the amplitude of mud pulse signal is larger than that of noise pulse signal, the maximum pulse signal in the length of a group of mud pulse series is extracted as mud pulse signal. The simulation is executed using the data from the actual drilling process and the results show the effectiveness of the proposed method.