Open AccessProcessing of the Passive Drilling-bit Ranging Signal Based on Wavelet Packet
Author(s) -
Quanzhi Yang,
Xiaobin Zhang,
Xiaolong Yu,
Xianlun Yang,
Weifeng Liu,
Yunyi Hou
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1894/1/012065
Subject(s) - ranging , signal (programming language) , drilling , computer science , wavelet , energy (signal processing) , electronic engineering , acoustics , telecommunications , engineering , mathematics , physics , artificial intelligence , statistics , mechanical engineering , programming language
Recent technological advances have increased interest to acoustic ranging especially the passive acoustic ranging which is easier to operate in the oilfield. For analyzing the non-stationary drilling-bit signal, the conventional discrete Fourier Transform (DFT) has been known to be less efficient. A new extraction method based on wavelet packet (WP) is presented. In the signal processing, WP is used to decompose the original drilling-bit signal into the sub-frequency bands (SFBs). By analyzing energy spectrum of the SFBs, the first four SFBs are found that contain the characteristic of the drilling-bit, and the specific frequency band of the drilling-bit signal is determined after power spectrum analyzing. The field test shows that when the bit is near to the casing of the adjacent well, the reconstruction drilling-bit signal changes significantly which can give warning accurately.