Interpretations of gravity and magnetic anomalies in the Songliao Basin with Wavelet Multi-scale Decomposition

Changbo LI, Liangshu WANG, Bin SUN, Runhai FENG, Yongjing WU

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PDF(3860 KB)
Front. Earth Sci. ›› 2015, Vol. 9 ›› Issue (3) : 427-436. DOI: 10.1007/s11707-014-0458-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Interpretations of gravity and magnetic anomalies in the Songliao Basin with Wavelet Multi-scale Decomposition

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Abstract

In this paper, we introduce the method of Wavelet Multi-scale Decomposition (WMD) combined with Power Spectrum Analysis (PSA) for the separation of regional gravity and magnetic anomalies. The Songliao Basin is situated between the Siberian Plate and the North China Plate, and its main structural trend of gravity and magnetic anomaly fields is NNE. The study area shows a significant feature of deep collage-type construction. According to the feature of gravity field, the region was divided into five sub-regions. The gravity and magnetic fields of the Songliao Basin were separated using WMD with a 4th order separation. The apparent depth of anomalies in each order was determined by Logarithmic PSA. Then, the shallow high-frequency anomalies were removed and the 2nd–4th order wavelet detail anomalies were used to study the basin’s major faults. Twenty-six faults within the basement were recognized. The 4th order wavelet approximate anomalies were used for the inversion of the Moho discontinuity and the Curie isothermal surface.

Keywords

gravity and magnetic anomalies / Songliao Basin / deep structure and geodynamics / Wavelet Multi-scale Decomposition / Power Spectrum Analysis

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Changbo LI, Liangshu WANG, Bin SUN, Runhai FENG, Yongjing WU. Interpretations of gravity and magnetic anomalies in the Songliao Basin with Wavelet Multi-scale Decomposition. Front. Earth Sci., 2015, 9(3): 427‒436 https://doi.org/10.1007/s11707-014-0458-3

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Acknowledgements

This work has been supported financially by the National Science and Technology Major Project (2011ZX05009-001). We thank the China Aero Geophysical Survey & Remote Sensing Center (AGRS) and the Daqing Oilfield for providing the gravity and magnetic data used in this study. The two anonymous reviewers are thanked for their help to improve this contribution.

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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