A Novel Weak Signal Detection Method of Electromagnetic LWD Based on a Duffing Oscillator

The logging while drilling (LWD) electromagnetic weak signal detection model of a Duffing oscillator based on a one-dimensional nonlinear oscillator is established. The influences of noise on Duffing oscillator dynamic behavior of periodic driving force are discussed and evaluate the oscillator weak signal detection mechanism based on a phase change trajectory diagram. The improved Duffing oscillator is designed and applied to detect the electromagnetic logging signal resistivity at the drill bit using the time-scale transformation method. The simulation results show that the nonlinear dynamic characteristics of the Duffing oscillator are very noticeable, the Duffing circuit is very sensitive to detect the tested signal, and it has a reasonable level of immunity to noise. The smaller the amplitude of the tested signal, the more sensitive the circuit is to the signal, the better the antinoise system performance, and the lower the signal-to-noise ratio (SNR).

[1]  S. Kassam Signal Detection in Non-Gaussian Noise , 1987 .

[2]  Kai M. Hock,et al.  Narrowband weak signal detection by higher order spectrum , 1996, IEEE Trans. Signal Process..

[3]  Iickho Song,et al.  Advanced theory of signal detection , 2002 .

[4]  Zhao Jianhui,et al.  An Effective Approach for the Noise Removal of Mud Pulse Telemetry System , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[5]  Xiu-shan LIU,et al.  Transmission Behavior of Mud-Pressure Pulse Along Well Bore , 2007 .

[6]  C. S. Regazzoni,et al.  SIGNAL DETECTION IN NON-GAUSSIAN NOISE BY A KURTOSIS-BASED PROBABILITY DENSITY FUNCTION MODEL , 2007 .

[7]  Detlef Hahn,et al.  Highly Flexible Mud-Pulse Telemetry: A New System , 2008 .

[8]  Robert B. Randall,et al.  Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine , 2009 .

[9]  Germán Campetelli,et al.  Improvements on Noninvasive Blood Glucose Biosensors Using Wavelets for Quick Fault Detection , 2011, J. Sensors.

[10]  Kihong Shin,et al.  Realization of the real-time time domain averaging method using the Kalman filter , 2011 .

[11]  Stephen Morris,et al.  Improving Real-Time Image-Data Quality With A Telemetry Model , 2012 .

[12]  Todd E. Humphreys,et al.  GPS Spoofing Detection via Dual-Receiver Correlation of Military Signals , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[13]  Matthias Reich,et al.  Continuous wavelet transformation: A novel approach for better detection of mud pulses , 2013 .

[14]  Jihong Yan,et al.  Improved Hilbert-Huang transform based weak signal detection methodology and its application on incipient fault diagnosis and ECG signal analysis , 2014, Signal Process..

[15]  Messaoud Benidir,et al.  Multiresolution wavelet-based QRS complex detection algorithm suited to several abnormal morphologies , 2014, IET Signal Process..

[16]  Fanrang Kong,et al.  Adaptive Multiscale Noise Tuning Stochastic Resonance for Health Diagnosis of Rolling Element Bearings , 2015, IEEE Transactions on Instrumentation and Measurement.

[17]  Liang Zhao,et al.  Demodulation of acoustic telemetry binary phase shift keying signal based on high-order Duffing system , 2016 .

[18]  Girish Kumar Singh,et al.  Sub-band classification of decomposed single event-related potential co-variants for multi-class brain–computer interface: a qualitative and quantitative approach , 2016 .

[19]  Crone D,et al.  ‘It’s a whole cultural shift’: understanding learning in cultural commissioning from a qualitative process evaluation , 2019, PRACTICE.