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首页> 外文期刊>Geophysical Prospecting >Continuous wavelet transform, theoretical aspects and application to aeromagnetic data at the Huanghua Depression, Dagang Oilfield, China
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Continuous wavelet transform, theoretical aspects and application to aeromagnetic data at the Huanghua Depression, Dagang Oilfield, China

机译：大港油田黄hua凹陷连续小波变换，理论方面及其在航空磁数据中的应用

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摘要

We use the continuous wavelet transform based on complex Morlet wavelets, which has been developed to estimate the source distribution of potential fields. For magnetic anomalies of adjacent sources, they always superimpose upon each other in space and wavenumber, making the identification of magnetic sources problematic. Therefore, a scale normalization factor, a~(-n), is introduced on the wavelet coefficients to improve resolution in the scalogram. By theoretical modelling, we set up an approximate linear relationship between the pseudo-wavenumber and source depth. The influences of background field, random noise and magnetization inclination on the continuous wavelet transform of magnetic anomalies are also discussed and compared with the short-time Fourier transform results.rnSynthetic examples indicate that the regional trend has little effect on our method, while the influence of random noise is mainly imposed on shallower sources with higher wavenumbers. The source horizontal position will be affected by the change of magnetization direction, whereas the source depth remains unchanged. After discussing the performance of our method by showing the results of various synthetic tests, we use this method on the aeromagnetic data of the Huanghua depression in central China to define the distribution of volcanic rocks. The spectrum slices in different scales are used to determine horizontal positions of volcanic rocks and their source depths are estimated from the modulus maxima of complex coefficients, which is in good accordance with drilling results.
机译：我们使用基于复杂Morlet小波的连续小波变换，该小波已被开发用于估计势场的源分布。对于相邻源的磁异常，它们总是在空间和波数上相互叠加，从而使磁源的识别成为问题。因此，在小波系数上引入尺度归一化因子a〜（-n），以改善比例图的分辨率。通过理论建模，我们在伪波数和源深度之间建立了近似线性关系。还讨论了背景场，随机噪声和磁化倾向对磁异常的连续小波变换的影响，并与短时傅立叶变换结果进行了比较。综合实例表明，区域趋势对我们的方法几乎没有影响，而影响随机噪声主要施加于波数较高的较浅源。源水平位置将受到磁化方向变化的影响，而源深度保持不变。在通过显示各种综合测试结果讨论了我们方法的性能后，我们使用了该方法对中国中部黄hua凹陷的航空磁数据进行定义，确定了火山岩的分布。利用不同尺度的光谱切片确定火山岩的水平位置，并根据复系数的模量最大值估算出火山岩的震源深度，与钻探结果吻合较好。

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  • 来源
    《Geophysical Prospecting》 |2010年第4期|P.669-684|共16页
  • 作者

    Yushan Yang; Yuanyuan Li; Tianyou Liu;

  • 作者单位

    Institute of Geophysics and Geomatics, China University of Geosciences, Lumo Street 485, Wuhan, HuBei 430074, China;

    rnInstitute of Geophysics and Geomatics, China University of Geosciences, Lumo Street 485, Wuhan, HuBei 430074, China;

    rnInstitute of Geophysics and Geomatics, China University of Geosciences, Lumo Street 485, Wuhan, HuBei 430074, China;

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