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Wiener Filtering Technology and Its Application in Gravity Field Separation in Xinjiang Region

JIANG Fu-yu, MENG Ling-shun, ZHANG Feng-xu, JIA Zhen, LIU Dan   

  1. College of GeoExploration Science and Technology, Jilin University,Changchun 130026,China
  • Received:2007-01-05 Revised:1900-01-01 Online:2007-09-26 Published:2007-09-26
  • Contact: JIANG Fu-yu

Abstract: Based on Wiener filtering principle, Green’s equivalent multilayer model is used to simulate radial logpower spectrum, and gramschmidt orthogonal decomposition is applied to calculate the power spectrum density function of measured gravity data. These methods guarantee the numerical stability during processing. The results from theoretical model show that with the help of Wiener filtering technique, the low frequency parts of separated deep fields will not decay. Thus a accurate regional field can be extracted, implementing the separation of potential field in frequency domain. The method is also applied to the Bouguer anomaly in Xinjiang, and after separated regional field calculated by optimum filter principle, 9 deep faults and 5 firstclass structure units are recognized.

Key words: Wiener filtering, Green’s equivalent layer, QR decomposition, region anomaly, faults

CLC Number: 

  • P631.1
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