DocumentCode
2152108
Title
MWD drilling mud signal de-noising and signal extraction research based on the pulse-code information
Author
Chen, Wen-yuan ; Fang, Bin ; Wang, Yi
Author_Institution
Dept. of Comput. Sci., Chongqing Univ., Chongqing, China
fYear
2010
fDate
11-14 July 2010
Firstpage
244
Lastpage
249
Abstract
Mud pulse telemetry is a method used for Measurement-While-Drilling (MWD) in the oil industry. Information (tool face orientation, temperature, pressure, tilt, azimuth, etc.) which is modulated by means of pulse positioning modulation (PPM) is sent from the bottom of the well to the surface by means of pressure waves in the drilling fluid(the drilling mud). Due to external disturbances, the noise removal before decoding is of great importance for real-time monitoring of bottom hole. Wavelet transform has been used widely in signal de-noising. In this paper, a wavelet based de-noising technique is used to isolate the signals from the noise, and waveform shaping and signal extraction based on the pulse-code information are processed to restore pulse signal more fully and to improve the SNR. Results showed that the effect of the wavelet transform on signal de-noising suppression is good. While waveform reshaping and the signal extraction based on pulse-code information can be more accurate in restoring the pulse signal to facilitate future decoding.
Keywords
decoding; oil drilling; petroleum industry; pulse code modulation; sediments; signal denoising; telemetry; wavelet transforms; MWD drilling mud; decoding; measurement-while-drilling; mud pulse telemetry; oil industry; pressure waves; pulse code information; pulse positioning modulation; real-time monitoring; signal de-noising; signal extraction research; tool face orientation; waveform shaping; wavelet transform; Drilling; Noise; Noise reduction; Synchronization; Wavelet analysis; Wavelet transforms; Measurement while drilling; Mud pulse noise; Pulse-coded information; Wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6530-9
Type
conf
DOI
10.1109/ICWAPR.2010.5576341
Filename
5576341
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