DocumentCode
507314
Title
Application of Scale Invariant Generator in Quantitative Extraction of Ore-forming Information from Gravitational Data: A Case Study from Tongshi Gold Field, Eastern China
Author
Zhao, Binbin ; Chen, Yongqing
Author_Institution
Sch. of the Earth Sci. & Resources, China Univ. of Geosci., Beijing, China
Volume
5
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
485
Lastpage
490
Abstract
Exploration data from geophysics and geochemistry have anisotropic features because anisotropy is an intrinsic property of geological bodies, including ore bodies. Lovejoy et al developed Generalized Scale Invariance (GSI) to account scaling anisotropy. The Scale Invariant Generator technique (SIG) is used for decomposing the gravitational data of different frequencies and extracting ore-forming anomalies from them in frequency domain combining with the principle of spectral analysis. The anisotropy of the Tongshi gold field and the spatial relationship of the Tongshi complex and gold deposits will be studied. This will provide valuable information for predicting the gold mineralization at depth.
Keywords
data analysis; geochemistry; geology; geophysics computing; minerals; Eastern China; Tongshi gold field; account scaling anisotropy; anisotropic features; exploration data; frequency domain; generalized scale invariance; geochemistry; geological bodies; geophysics; gold mineralization; gravitational data; ore bodies; ore forming anomalies; ore-forming information; quantitative extraction; scale invariant generator; spectral analysis; Anisotropic magnetoresistance; Data mining; Fractals; Frequency domain analysis; Frequency shift keying; Fuzzy systems; Geology; Geoscience; Gold; Mineralization; eastern China; gold mine field of Tongshi; gravitational data filtering; multi-fractal; scale invariant generator technique (SIG); scaling anisotropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.748
Filename
5360575
Link To Document