Research on MWD Mud Pulse Signal Extraction Algorithm

Abstract

The extraction and correct recognition of mud pulse signal in Wireless Measurement While Drilling was a key technology in petroleum drilling process. It determined whether the well course in the petroleum drilling process was right or not. This article has carried out the numerical modeling of mud pulse signal and illustrated its signal feature. In terms of the problems of extraction and recognition of PLM encoded mud pulse signal, it has researched on the noise removing using the Wavelet multi-scale feature recognition and related de-noising algorithms. The location of PLM encoded mud pulse signal was discerned precisely by using the combinational algorithm of local feature and waveform character recognition and laid a foundation for the extraction and accurate recognition of mud pulse signal. Finally, the results of live tests indicate that this arithmetic is simple, useful and conform to the requirements of engineering application.

A Review of Communication Technologies in Mud Pulse Telemetry Systems

“…Miller codes have no DC component and are easy to detect, but the transition points in the middle can be influenced by complex noise in the wellsite. Zhang et al [28] used pulse location modulation (PLM) techniques to encode mud pulse signals by combining M pulses with N slots. This approach achieved a high transmission rate, but the complexity of the coding scheme made detection challenging.…”

SDA-based Neural Network Approach for MWD Mud Pulse Signal Recognition

“…[5], Li et al used the principle of the maximum principle of judging and sliding window area to identify the pulse signal, and effectively improve the accuracy of data decoding. Method of combination of various methods to recognize mud pulse signal laid the foundation for the accurate identification and extraction of the signal [6]. In Ref.…”