A Study on Sensor Motion-Induced Noise Reduction for Developing a Moving Transient Electromagnetic System

이동하면서 측정할 수 있는 시간영역전자탐사 시스템 개발을 위한 센서흔들림유도잡음 제거 연구

  • Hwang, Hak Soo (Korea Institute of Geology, Mining and Materials, Resources Exploration Division) ;
  • Lee, Sang Kyu (Korea Institute of Geology, Mining and Materials, Resources Exploration Division)
  • 황학수 (한국자원연구소, 자원탐사연구부) ;
  • 이상규 (한국자원연구소, 자원탐사연구부)
  • Received : 1997.12.13
  • Published : 1998.02.28

Abstract

Transient electromagnetic (TEM) method is also affected by cultural and natural electromagnetic (EM) noises, since it uses part of the broadband ($10^{-2}$ to $10^5Hz$) spectrum. Especially, predominant EM noise which affects a moving transmitter-receiver TEM system is sensor motion-induced noise. This noise is caused by the sensor motion in the earth magnetic field. The technique for reducing the sensor motion-induced EM noise presented in this paper is based on Halverson stacking. This Halverson stacking is generally used in a time-domain induced polarisation (IP) system to reject DC offset and linear drift. According to spectrum analysis of the vertical component of sensor motion-induced noise, the frequency range affected by the motion of an EM sensor is less than about 700 Hz in this study. With the decrease of the frequency, the spectral power caused by the motion of a sensor increases. For example, at the frequency of 200 Hz, the spectral power of the sensor motion-induced noise is $-90dBVrms^2$ while the spectral power of the EM noise measured with a fixed sensor on the ground is $-105dBVrms^2$, and at the frequency of 100 Hz, the spectral power of the sensor motion-induced noise is $-70dBVrms^2$ while the spectral power of the EM noise measured with a fixed sensor on the ground is $-105dBVrms^2$. With applying Halverson stacking to an artificial noise transient generated by adding a noise-free transient to sensor motion-induced noise measured without pulsing, it is shown that the filtered transient is nearly consistent with the noise-free transient within a delay time of $0.5{{\mu}sec}$. The inversion obtained from this filtered transient is in accord with the true model with an error of 5%.

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