Gravity and magnetic anomaly separation based on bidimensional empirical mode decomposition

被引：5
|
作者：
Chen J.-G. [1 ,2 ]
Xiao F. [1 ,2 ]
Chang T. [1 ,2 ]
机构：
[1] State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences
[2] Faculty of Earth Resources, China University of Geosciences
来源：
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | 2011年 / 36卷 / 02期
关键词：
Bidimensional empirical mode decomposition; Gejiu; Gravity and magnetic anomaly; Mathematic models;
D O I：
10.3799/dqkx.2011.034
中图分类号：
学科分类号：
摘要：
Geological process often experienced a number of causal or complex genetic stages, which often resulted in original gravity and magnetic anomaly composed of various geological elements including background anomaly, and local anomaly which may be caused by deposits, alternation and concealed rocks, etc., which are associated with mineral exploration and prospecting. It is one of the most difficult issues in mineral prospecting and potential resource assessment as how to separate gravity and magnetic anomaly, which is significant for mineral exploration from original composite anomaly. Empirical mode decomposition (EMD) is considered to be an effective method in superimposed information separation. In this paper, a new bidimensional empirical mode decomposition (BEMD) method is proposed, that is, biharmonic spline interpolation (BSI) instead of general spline interpolation for improving stability. As a case study, gravity and magnetic data in Gejiu, Yunnan, China, have been used to extract local anomaly which could reveal potential information in mineral exploration by multiscale and nonlinear decomposition with BEMD method. It extends the application of empirical mode decomposition.
引用
收藏
页码：327 / 335
页数：8
相关论文
共 51 条
  • [1] Abdulhay E., Gumery P.Y., Fontecave J., Et al., Cardiogenic oscillations extraction in inductive plethysmography:ensemble empirical mode decomposition, Embc:2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1-20, pp. 2240-2243, (2009)
  • [2] Agarwal V., Tsoukalas L.H., Denoising electrical signal via empirical mode decomposition, 2007 Irep Symposium-Bulk Power System Dynamics and Control-Vii Revitalizing Operational Reliablity, 1-2, pp. 72-77, (2007)
  • [3] Battista B.M., Knapp C., McGee T., Et al., Application of the empirical mode decomposition and Hilbert-Huang transform to seismic reflection data, Geophysics, 72, 2, (2007)
  • [4] Chen Q.H., Huang N.E., Riemenschneider S., Et al., A B-spline approach for empirical mode decompositions, Advances in Computational Mathematics, 4, 1-4, pp. 171-195, (2006)
  • [5] Chen Z.J., Multifractal theory based local singularity analysis method and its application in spatial information extraction for mineral exploration, (2007)
  • [6] Cheng Q.M., The perimeter-area fractal model and its application in geology, Mathematical Geology, 27, 7, pp. 64-77, (1995)
  • [7] Cheng Q.M., Spatial and scaling modeling for geochemical anomaly separation, Journal of Exploration Geochemistry, 65, 3, pp. 175-194, (1999)
  • [8] Cheng Q.M., Multifractal and geostatistic methods for characterizing local structure and singularity properties of exploration geochemical anomalies, Earth Science-Journal of China University of Geosciences, 26, 2, pp. 161-166, (2001)
  • [9] Cheng Q.M., Non-linear mineralization model and information processing methods for prediction of unconventional mineral resources, Earth Science-Journal of China University of Geosciences, 28, 4, pp. 1-10, (2003)
  • [10] Cheng Q.M., A new model for quantifying anisotropic scale invariance and for decomposition of mixing patterns, Mathematical Geology, 36, 3, pp. 345-360, (2004)
123456