Extraction of Gravity Anomalies Associated with Gold Mineralization: A Comparison of Singular Value Decomposition and Bi-Dimensional Empirical Mode Decomposition

Article Preview

Abstract:

Two methods of both the singular value decomposition (SVD) and the Bi-dimensional empirical mode decomposition (BEMD) were applied in extraction of gravity anomalies associated with gold mineralization in Tongshi gold field, respectively in this paper. Conclusions drawn by the comparison study are as follows: (a) The ore-controlling factor in the Tongshi gold field illustrated in the images obtained from the original gravity data by the two methods is the same that the Tongshi intrusions with a negative circular gravity anomaly and the ring contact metasomatic mineralization zone around the Tongshi intrusions with the positive gravity anomaly. (b) The two methods reveal the same spatial relationship between the ore-controlling factor and various gold mineralizations that the skarn and porphyry types of gold deposits are located within the complex pluton and the Carlin and Crypto-breccia types of gold deposits located within the contact metasomatic mineralization zone. (c) The image produced by BEMD not only reflects the structural features of the ore-controlling factor (Tongshi complex pluton), but also does the distributions of the other geological units in the Tongshi gold field such as the Mesozoic volcanic sedimentary basin in NW orientation with obvious negative gravity anomaly and the conceal metamorphic base swell in NW orientation with the positive gravity anomaly located between the Tongshi intrusions and the Mesozoic volcanic sedimentary basin. The image produced by SVD might depict in more detail the inner structure of the Tongshi intrusions and the ring contact metasomatic zone than that produced by BEMD. The higher gravity anomaly areas in island shape within the ring contact metasomatic zone may be caused by the skarn bodies with iron-copper-gold mineralization. (d) Under the constraints of the ore-forming geological setting, the results obtained from the original gravity data by combination of the two methods can depict the relationships between the ore-controlling factors and the gold mineralizations more exactly than the alternative methods.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 455-456)

Pages:

1567-1577

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Q. M. Cheng, The perimeter-area fractal model and its application in geology, Math Geol, 27(7): 64—77, (1995).

DOI: 10.1007/bf02083568

Google Scholar

[2] Q. M. Cheng, Spatial and scaling modeling for geochemical anomaly separation, J Geochem Explor, 65: 175—194, (1999).

Google Scholar

[3] Q. M. Cheng, Non-Linear Mineralization Model and Information Processing Methods for Prediction of Unconventional Mineral Resources, J China Univ Geosci, 28(4): 1—10, 2003(in Chinese).

Google Scholar

[4] Q. M. Cheng, A new model for quantifying anisotropic scale invariance and for decomposition of mixing patterns, Math Geol, 36(3): 345—360, (2004).

DOI: 10.1023/b:matg.0000028441.62108.8a

Google Scholar

[5] Q. M. Cheng, Singularity-Generalized Self-Similarity-Fractal Spectrum (3S) Models, J China Univ Geosci, 31(3): 337—348, 2006(in Chinese).

Google Scholar

[6] Q M. Cheng, No-linear theory and power-low models for information integration and mineral resources quantitative assessments, Math Geosci, 40(5): 503—532, (2008).

DOI: 10.1007/s11004-008-9172-6

Google Scholar

[7] Q. M. Li and Q. M. Cheng, Fractal Singular-Value (Egin-Value) Decomposition Method for Geophysical and Geochemical Anomaly Reconstruction, J China Univ Geosci, 29(1): 109—118, 2004(in Chinese).

Google Scholar

[8] S. Lovejoy, D Schertzer and J. S. Gagnon, Multifracal simulation of the Earth's surface and interior: anisotropic singularities and morphology, " Proceeding of IAMG, 2005: GIS and Spatial Analysis (Editors: Qiuming Cheng,et al) , Vol1: 37—54, (2005).

Google Scholar

[9] Q. Chen, N. E. Huang, Riemenschneider S, et al, A B-Spline approach for empirical mode decompositions, Adv Comp Ma, 24: 171—195, (2006).

DOI: 10.1007/s10444-004-7614-3

Google Scholar

[10] N. E. Huang, Z. Shen, S. R. Long, et al, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,: Proc. Roy. Soc. Lond, Ser. A 454: 903—995, (1998).

DOI: 10.1098/rspa.1998.0193

Google Scholar

[11] N. E. Huang, Beyond the Fourier transform: coping with nonlinear, nonstationary time seriers, www. Physiconet. org/events/hrv-2006/huang. pdf, (2006).

Google Scholar

[12] Q. M. Li, GIS-based multifractal/inversion methods for feature extraction and applications in anomaly identification for mineral exploration, Ph.D. thesis, York University, Toronto, Canada, 2005. P211.

Google Scholar

[13] Q. M. Cheng, P. D. Zhao, J. G. Chen, , et al., 2009. Application of Singularity Theory in Prediction of Tin and Copper Mineral Deposits in Gejiu District, Yunnan, China: Weak Information Extraction and Mixing Information Decomposition. Earth Science-Journal of China University of Geosciences, 34(2): 232-242(in Chinese with English abstract).

Google Scholar

[14] G. D. Glifford, Singular Value Decomposition & Independent Component Analysis for Blind Source Separation, HST582J/6. 555J/16. 456J, Biomedical signal and Image Processing, (2005).

Google Scholar

[15] V. D. Varbie, J. I. Mars, J. L Lacoume, Modified singular value decomposition by means of independent component analysis, Signal processing, 84: 645-652, (2004).

DOI: 10.1016/j.sigpro.2003.12.007

Google Scholar

[16] S. L. M. Freire, , and T. J. Ulrych, Application of singular value decomposition to vertical seismic profiling, Geophysics, 53( 6): 778-785, (1988).

DOI: 10.1190/1.1442513

Google Scholar

[17] J. N. Huang, B. B. Zhao, Y.Q. Chen , P. D. Zhao, Bidimensional empirical mode decomposition (BEMD) for extraction of gravity anomalies associated with gold mineralization in the Tongshi goldfield, Western Shandong Uplifted Block, Eastern China, Comput. Geosci., 36(7): 987-995, (2010).

DOI: 10.1016/j.cageo.2009.12.007

Google Scholar

[18] J. C. Nunes, Y. Bouaoune, E. Delechelle, O. Niang and Ph. Bunel, Image analysis by bi-dimensional empirical mode decomposition, Image Vis C, 21: 1019—1026, (2003).

DOI: 10.1016/s0262-8856(03)00094-5

Google Scholar

[19] J. C. Nunes, S. Guyot, E. Delechelle, Texture analysis based on local analysis of he Bidimensional Empirical Mode Decomposition, Mach Vis A, 16: 177—188, (2005).

DOI: 10.1007/s00138-004-0170-5

Google Scholar

[20] G. C. Pan and D. P. Harries, Information synthesis for mineral exploration, Oxford University Press, Unite Kingdom, 2000, 461 pp.

Google Scholar

[21] J. Q. Lin , D. J. Tan, 40Ar/ 39 Ar Ages of Mesozoic Igneous Activities in Western Shandong, Acta Petrologica ET Mineralogica, 15(3): 213-220, 1996 (in Chinese).

Google Scholar

[22] H. B Hu, J. W. Mao, S. Y Niu, M. W. Li, F. M. Chai, Y. F. Li, et al., Study on ore-forming fluids of the Guilaizhuang gold deposits in Pingyi, Western Shangdong, Journal Mineral Petrol, 29(1): 38-44, 2005(in Chinese).

DOI: 10.1007/3-540-27946-6_356

Google Scholar

[23] Y. Q. Chen, Q. L. Xia, H. G. Liu, Delineation of potential mineral resources region based on geo-anomaly unit, J. China Univ. Geosci., 11(2): 158-163, 2000(in Chinese).

Google Scholar

[24] X. F. Yu, Ore-forming Series and Model of Tongshi Gold Field in Pingyi, Shangdong Province, Shangdong Geology, (3-4): 59-64, 2001 (in Chinese with English abstract).

Google Scholar

[25] D. P. Zhu, X. M. Zhang, S. Q. Li, et al., The mineralization types of Tongshi district of secondary volcanic complex rock mass in Pingyi County and their geological feature of mineralization, Gold, 21(8): 8: 11, 2000(in Chinese with English abstract).

Google Scholar

[26] S. C. Wang, Y. Q. Liu, P. H. Yi, Y. H. Yang, D. L. Yang, T. L. Huang, J. Z. Fang, S. X. Li, Y. Q. Chen, S. S. Ye, Gold deposits and the synthetic information metallogenic prognosis in gold deposit concentrated area, Beijing: Geological Publishing House, 2003(in Chinese).

Google Scholar

[27] Q. M. Cheng, Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu , Yunnan Province , China, Ore Geology Reviews , 32: 314 – 324, (2007).

DOI: 10.1016/j.oregeorev.2006.10.002

Google Scholar

[28] Q. M. Li, S. H. Liu, Geophysical signal decomposition by singular method and application in GIS, Progress in Geophysics, 18(1): 97-102, 2003(in Chinese with English abstract).

Google Scholar