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A Comparison of the Power Spectrum Area and Multifractal Singular Value Decomposition Methods for Extraction of IP Anomaly (A Cause Study: Hamyj Copper Deposit, Iran)



Enhancement of anomaly plays such a critical role in mineral exploration that this work has been carried out by removed noise in geophysical data. Power spectrum area (S-A) and multifractal singular value decomposition (MSVD) methods are application methods in enhancement of anomaly that are usually used in the geochemical exploration process. However, these methods have not been widely used in the geoelectrical data so far. Hamyj deposit is located about 80 kilometers west of Birjand city, South Khorasan province, Iran. In this area, resistivity and induced polarization data have been surveyed by dipole- dipole array. In this paper, IP data has been inversed by the linear method. Then, enhancement of anomaly IP data has been carried out by S-A and MSVD methods. Results of S-A and MSVD methods were compared with each other. Results indicate that the S-A method has determined the location of anomaly IP data better than the MSVD method.


Power spectrum area; Multifractal singularity value decomposition; Induced polarization; Hamyj copper deposit

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Ramazi HR, Mostafaie K. 2013. Application of integrated geophysics method in Marand (Iran) manganese deposit exploration. Arabian Journal of Geosciences, 6(8): 2961-2970.

Pardo OH, Alexander GC, Pintor IM. 2012. Geophysical exploration of disseminated and stockwork deposit associated with plutonic intrusive rock. Earth science research journal. 16(1): 11-23.

Telford MW, Geldart LP, Sheriff R. 1990. Applied geophysics. Cambridge University. 726.

White RMS, Collins S, Loke MH. 2003. Resistivity and IP arrays optimized for data collection and inversion. Exploration Geophysics. 34(4): 229-234.

Hohmann GW. 1975. 3-D induced polarization EM modeling. Geophysics. 40(2): 309 – 324.

Cheng Q, Xu Y, Grunsky E. (2000). Integrated spatial and spectrum method for geochemical anomaly separation. Natural Resources Research, 9(1): 43-52.

Wang G, Zhang S, Yan C, Xu G, Ma M, Li K, Feng Y. (2012). Application of the multifractal singular value decomposition for delineating geophysical anomalies associated with molybdenum occurrences in the Luanchuan ore field (China). Journal of Applied Geophysics, 86, 109-119.

Daya AA, Afzal P. (2015). A comparative study of concentration-area (CA) and spectrum-area (SA) fractal models for separating geochemical anomalies in Shorabhaji region, NW Iran. Arabian Journal of Geosciences, 1-13.

Freire SL, Ulrych TJ. (1988). Application of singular value decomposition to vertical seismic profiling. Geophysics 53(6): 778-785.

Zhao BB, Chen YQ. (2011). Singular value decomposition (SVD) for extraction of gravity anomaly associated with gold mineralization in Tongshi gold field, Western Shandong Uplifted Block, Eastern China. Nonlinear Processes in Geophysics 18(1): 103-109.

Zuo R (2011) Identifying geochemical anomalies associated with Cu and Pb-Zn Skarn mineralization using principal component analysis and spectrum-area fractal modelling in the Gangdese Belt, Tibet. Journal of Geochemical Exploration 111(1): 13-22.

Cheng Q (2004) A new model for quantifying anisotropic scale invariance and for decomposition of mixing pattern. Mathematical Geology 36: 345-360

Jackson GM, Mason IM, Greenhalgh SA. (1991). Principal component transforms of triaxial recordings by singular value decomposition. Geophysics 56(4): 528-533.

Cagnoli B, Ulrych TJ. (2001). Singular value decomposition and wavy reflections in ground-penetrating radar images of base surge deposits. Journal of Applied Geophysics 48(3): 175-182.

De Franco R, Musacchio G. (2001). Polarization filter with singular value decomposition. Geophysics 66(3): 932-938

Li Q, Cheng Q. (2004). Fractal singular-value (eigen-value) decomposition method for geophysical and geochemical anomaly reconstruction. Journal of China University of Geosciences 29: 109-118.

Shahi Ferdows M, Bicharanlo Hasan M, Poormirzaee R (2014) Integration of Geoelectrical information layers by fuzzy method to choose the best point for drilling: a case study Hamyj, Birjand. Journal of Earth and Space Physics 40(1): 95-105, (in Persian).

Oldenburg DW, Li Y (1994). Inversion of induced polarization data. Geophysics 59(9): 1327-1341

DOI: http://dx.doi.org/10.18686/ag.v3i1.1287