Research on MWD Mud Pulse Signal Extraction Algorithm

Autor: Bing Tu, Guo Yun Zhang, Teng Xi Zhan
Rok vydání: 2014
Předmět:
Zdroj: Advanced Materials Research. :755-760
ISSN: 1662-8985
Popis: 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.
Databáze: OpenAIRE