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Student Number 966402003
Author Wen-Bin Doo(y)
Author's Email Address wenbindoo@gmail.com
Statistics This thesis had been viewed 768 times. Download 189 times.
Department Graduate Institute of Geophysics
Year 2010
Semester 2
Degree Ph.D.
Type of Document Doctoral Dissertation
Language English
Title Development and applications of analytic signal and Euler deconvolution methods
Date of Defense 2011-05-30
Page Count 98
Keyword
  • analytic signal
  • Euler deconvolution
  • Abstract Magnetic and gravity data are generally used to discuss geological structure characteristics, and the most applications are used to determine the location of the sources. Among the interpretation techniques, the methods of the analytic signal and Euler deconvolution have been widely adopted for these purposes. The major advantage of using these two techniques is that the determination of magnetic source locations and depths is independent of the ambient earth magnetic parameters. In this thesis, generally based on the analytic signal and Euler deconvolution we attempt to develop new methods and then discuss its applications.
    We have developed a new method by using the joint analysis of analytic signal and Euler deconvolution to estimate the parameters of 2D magnetic sources, especially to identify the horizontal locations, depths, structural types (indices), magnetization contrasts and structural dips. Furthermore, this method is used to estimate the possible magnetization contrast of geomagnetic reversals. This information could be a useful constrain for geomagnetic age modeling. Thus, one does not need to assume a constant magnetization of the magnetized layer in the modeling. This could make the synthetic magnetic anomaly more realistic. This method has been tested to determine the magnetization contrast of the Brunhes-Matuyama boundary of geomagnetic reversal.
    The Poisson theorem provides a simple relationship between the gravity and magnetic potentials. Based on the simple Poisson theorem, magnetization/density ratio (MDR) can be estimated. Here, we combined the Poisson theorem and analytic signal technique to estimate MDR. Follow this method the MDR values can be determined from gravity and magnetic data. Apply this method to a profile across the offshore area of the northern Taiwan. In comparison with the reflection seismic profile, it shows that the method can help us to identify the existence of a deep-seated igneous body beneath the area of Mienhuayu and Pengchiagu islands off northern Taiwan.
    Finally, we show a magnetic survey result for the purpose of detecting buried buildings of Siaolin Village in southern Taiwan after the catastrophic landslide induced by Typhoon Morakot in 2009. Compared the original locations of buildings with the magnetic data analysis results, high-resolution magnetic survey can effectively identify positions of buried buildings in Siaolin Village. The estimated depths of the possible buried buildings are about 5-10 meters deep. In addition, magnetic data analysis can further suggest the possible debris-flow direction of N250o, because the northern part of village was mostly destroyed off while the southern part of village buildings remained in place.
    Table of Content Kn                               
    Abstract                              iii
    x                                        v
    Contents                              vii List of figures                            x
    List of tables                            xiii
    1. Introduction                            1
    1.1 Previous studies..KKKKKKKKKKKKKKKKKKKKKKKK1
    1.1.1 Analytic signalKKKKKKKKKKKKKKKKKKKKKK1
    1.1.2 Euler deconvolutionKKKKKKKKKKKKKKKKKKK3
    1.1.3 Other methodsKKKKKKKKKKKKKKKKKKKKK.4
    1.2 Purpose of the thesisKKK.KKKKKKKKK.KKKKKKKKK5
    2. A derivative-based interpretation approach to estimate source parameters of simple 2D magnetic sources from the Euler deconvolution, the Analytic Signal method, and the analytical expressions of the anomalies          9
    2.1 IntroductionKKKKKKKKKKKKKKKKKKKKKKKKKK9
    2.2 MethodologyKKKKKKKKKKKKKKK..KKKKKKKKK10
    2.2.1 Case of contact or fault modelKKKKKKKKKKKKKKK11
    2.2.2 Case of thin dike modelKKKKKK..KKKKKKKKKKK12
    2.2.3 Case of cylinder modelKKKKKK..KKK.KKKKKKKK13
    2.3 Tests on synthetic dataKKKKKKKKKKK..KKKKKKKKKK14
    2.3.1 Contact model (model 1)KKKKKKKKKKKKKKKKK14
    2.3.2 Thin dike model (model 2)KKKKKKKKKKKKKKKK15
    2.3.3 Cylinder model (model 3)KKKKKKKKKK..KKKKKK16
    2.3.4 Composite model (model 4 and 5)KKKKKK...KKKKKKK16
    2.4 Real exampleKKKKKKKK..KKKKKKK..KKKKKKKKK18
    2.5 Summary...KKKKKKKKKKKKKKKKKKKKKKKKKK19
    3. Determination of magnetization contrasts of geomagnetic polarity reversals 28
    3.1 IntroductionKKKKKKKKKKKKKKKKKKKKKKKKK28
    3.2 MethodologyKKKKKKKKKKKKKKK..KKKKKKKKK29
    3.3 DataKKKKKKKKKKKKKKKKKKKKKKKKKKKK30
    3.4 ResultsKKKKKKKKKKKKKKKKKKKKKKKKKKK31
    3.5 Discussion and SummaryKKKKKKKKKKKKKKKKKKKK32
    4. Using Analytic signal to determine magnetization/density ratios of geological structures                           42
    4.1 IntroductionKKKKKKKKKKKKKKKKKKKKKKKKK42
    4.2 MethodologyKKKKKKKKKKKKKKK..KKKKKKKKK43
    4.3 Synthetic modelsKKKKKKKKKKKKK..KKKKKKKKKK45
    4.3.1 2D model KKKKK...KKKKKKKKKKKKKKKKK45
    4.3.2 3D models KKKKK...KKKKKKKKKKKKKKKKK45
    4.4 Density and magnetization of general rocksKK.KKKKKKKKKK48
    4.5 Application to real dataKKKKKKKKKKK..KKKKKKKKK48
    4.5.1 Offshore northern Taiwan KKKKK...KKKKKKKKKKK49
    4.5.2 Magnetic and gravity data processing KKKKKKKKKKKK49
    4.5.3 Seismic Data processing KKKKK...KK.KKKKKKKKK50
    4.6 Summary...KKKKKKKKKKKKKKKK..KKKKKKKKK52
    5. Magnetic signature of the Siaolin Village, southern Taiwan, buried by a catastrophic landslide due to Typhoon Morakot            68
    5.1 IntroductionKKKKKKKKKKKKKKKKKKKKKKKKK68
    5.2 DataKKKKKKKKKKKKKKKKKKKKKKKKKKKK70
    5.3 MethodKKKKKKKKKKKKKKKKKKKKKKKKKKK71
    5.4 Results and resolution testKKK.KKKKKKKKKKKKKKKK72
    5.5 DiscussionKKKKKKKKK.KK.KKKKKKKKKKKKKK73
    5.6 SummaryKKKKKKK..KK.KK.KKKKKKKKKKKKKK76
    6. Conclusion                            90
    Bibliography                            92
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    Date of Submission 2011-07-22

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