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《Oil Geophysical Prospecting》 2009-05
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Magnetotelluric Data Processing Based on Hilbert-Huang Transform in Oil and Gas Exploration

Cai Jian-hua1,2,Gong Yu-rong2 and Wang Xian-chun1.1.Department of physics and electronic,Hunan University of Arts and Science,Changde City,Hunan Province,415000,China2.School of Info-physics and Geomatics Engineering,Central South University,Changsha City,Hunan Province,410083,China  
Nowadays the need for using Magnetotelluric(MT) sounding in oil and gas exploration is growing.While MT data series are nonlinear,non-minimum phase and typical non-stationary random signals,they do not meet the basic requirements of conventional methods which are based on the Fourier transform.The latest developed Hilbert-Huang Transform(HHT) is an effective method for processing of nonlinear and non-stationary random signals.In this paper application of HHT to Magnetotelluric Data Processing were discussed in the following three aspects:(1) Using Hilbert time-frequency energy spectrum to select MT signal sessions is helpful to improve signal quality;(2) Using empirical mode decomposition method and Hilbert spectrum can effectively analyze the noise distribution of MT data so the noise can be suppressed;(3) By using processed HHT data,the impedance tensor was estimated from the Hilbert spectrum statistics and the estimation error which was caused by non-stationary characteristics of MT data was minimized.Results show that the HHT method is effective to process MT data,and it is a better method than traditional methods in noise suppression and extraction of useful information from signals.By applying HHT method,MT response curve effectively avoids irregular expansion of certain frequencies with big error bars or shape distortions,that ensures the following qualitative analysis and quantitative interpretation.
【Fund】: 湖南省教育厅项目(08C615);; 湖南省“十一五”重点建设学科——光学基金资助
【CateGory Index】: P631.325
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