Simulation Study on Noise Control Algorithm in Logging While Drilling

The logging while drilling technology (LWD) is a method for acquiring and transmitting downhole logging data in real time during bit drilling. Since the drilling channel used in the LWD system is a time-space frequency change, long delay, and extremely limited feedback deletion channel, the conventional LWD data transmission strategy is difficult to ensure the reliability and validity of data transmission. In view of the key problems of real-time transmission of the above-mentioned logging while drilling data, this paper has carried out comprehensive and in-depth research. The main innovations are as follows: (1) Introducing adaptive active denoising algorithm for LWD technology to overcome passive denoising technology Defects improve the reliability of logging data. (2) According to the characteristics of the drilling channel, overcoming the inconsistency between the convergence speed of the filter weight coefficient and the steady-state offset in the traditional algorithm, an improved minimum mean square algorithm suitable for the drilling channel is proposed. The algorithm has the advantages of low linear complexity and strong mutation tracking ability. The simulation results of software experiments show that under the harsh environment of the drilling channel, compared with the traditional algorithm, the improved algorithm converges faster and the steady-state offset is smaller. When the system is abrupt, it has stronger tracking ability. Noise is removed and key information about the signal is well preserved.