OJG  Vol.5 No.6 , June 2015
The Study of Area-Concentration Fractal Method in Litho-Geochemical Data in Tanurjeh Area, Khorasan Province
ABSTRACT
Given the scientific progresses as well as the invention of new methods in exploration, it is necessary to conduct some re-investigations in several exploration zones. So, in the present research, geochemical data on Tanurjeh exploration zone, (located in Northern Neishaboor, Khorasane Razavi province) is studied by using some modern statistical methods. Fractal methods are appropriated to study and separate the grades societies in deposits. In this article, litho-geochemical analysis results (ICP) are processed by concentration area fractal method (CA). The distribution diagrams related to the statistical populations are drawn, and anomaly populations of Copper, Gold and Molybdenum are determined besides previous studies (petrography and alteration), the results of statistic methods (CA) and aid presence of the porphyry system in depth.

Cite this paper
Ajayebi, K. , Jafari, H. and Behbahani, B. (2015) The Study of Area-Concentration Fractal Method in Litho-Geochemical Data in Tanurjeh Area, Khorasan Province. Open Journal of Geology, 5, 451-457. doi: 10.4236/ojg.2015.56042.
References
[1]   Ajayebi, K., Karimpour, M.H., Mazaheri, M. and Adabi, M.H. (2007) Geochemistry, Petrogenesis and Fluids Genesis of Hydrothermal Mineralization in Tanurjeh Area (North of Kashmar). Ph.D. Thesis, Islamic Azad University, Science and Research Branch, Tehran.

[2]   Cheng, Q., Agterberg, F.P. and Ballantyne, S.B. (1994) The Separartion of Geochemical Anomalies from Background by Fractal Methods. Journal of Geochemical Exploration, 51, 109-130.
http://dx.doi.org/10.1016/0375-6742(94)90013-2

[3]   Zou, R.G., Cheng, Q.M. and Xia, Q.L. (2009) Application of Fractal Models to Characterization of Vertical Distribution of Geochemical Element Concentration. Journal of Geochemical Exploration, 102, 37-43. http://dx.doi.org/10.1016/j.gexplo.2008.11.020

[4]   Cheng, Q.M. (2008) Non-Linear Theory and Power—Law Models for Information Integration and Mineral Resources Quantitative Assessments. Mathematical Geosciences, 40, 503-532.
http://dx.doi.org/10.1007/s11004-008-9172-6

[5]   Mandelbrot, B.B. (1983) The Fractal Geometry of Nature. In: Freeman, W.H., Ed., the Franco—American Mathematican, San Fransisco, 468.

[6]   Li, C.J., Ma, T.H. and Shi, J.F. (2003) Application of a Fractal Method Relating Concentrations and Distances for Separation of Geochemical Anomalies from Background. Journal of Geochemical Exploration, 77, 167-175. http://dx.doi.org/10.1016/S0375-6742(02)00276-5

[7]   Agterberg F.P., Cheng, Q.M., Brown, A. and Good, D. (1996) Multifractal Modeling of Fractures in the Lac Du Bonnet Batholith, Manitoba. Computers & Geosciences, 22, 497-507.
http://dx.doi.org/10.1016/0098-3004(95)00117-4

[8]   Goncalves, M.A., Mateus, A. and Oliveira, V. (2001) Geochemical Anomaly Separation by Multifractal Modeling. Journal of Geochemical Exploration, 72, 91-114.
http://dx.doi.org/10.1016/S0375-6742(01)00156-X

[9]   Afzal, P., Khakzad, A., Moarefvand, P., Omran, N.R., Esfandiari, B. and Fadakar, A.Y. (2010) Geochemical Anomaly Separation by Multifractal Modeling in Kahang (Gor Gor) Porphyry System, Central Iran. Journal of Geochemical Exploration, 104, 34-46.
http://dx.doi.org/10.1016/j.gexplo.2009.11.003

 
 
Top