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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.748