Applying fractal models to delineation of rock quality designation  in the Zarshuran gold deposit, Takab, Iran

Rostami Paydar, Ghodratollah; Asadi Hoveizian, Hani

doi:10.22071/gsj.2018.78009.1056

Document Type : Original Research Paper

Authors

Department of Geology, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

https://doi.org/10.22071/gsj.2018.78009.1056

Abstract

Determination of relationship between rock mass properties concerning to rock qualification design (RQD) has an important role in mine planning and designation. The aim of this study is separation of rock mass properties to designing the mine planning based on the 3267 RQD data analysis of 43 drill-core within Zarshuran gold deposit in Orumieh- Dukhtar assemblage zone applying RQD-Number and RQD-Volume fractal modeling. The results of log-log plots for RQD-N model revealed four rock populations that divided by RQD thresholds 20.41, 47.86, 69.18 and 81.28. The results of log-log plots for RQD-V model release four populations divided by RQD thresholds 21.37, 43.65, 63.09, 79.43 respectively which represent very poor, poor, fair and good rocks based on Deere and Miller rock classification. In other hand the lithological units modeled based on the drill-core data to obtain the spatial distribution of Zarshuran deposit. The results of RQD-N and RQD-V fractal modeling versus lithological units modeling results revealed that Chaldagh limestone unit and Jaspiroid unit shows fair and good quality with RQD fractal value 69.18 till 81.28 and located at the center and western part of Zarshuran deposit. Therefore, in mine slop designing and planning have excellent conditions. The results of the RQD-N fractal modeling in Zarshuran deposit can usage as a practical method in similar districts.

Keywords

20.1001.1.10237429.1398.28.111.16.2

Main Subjects

Exploration and Mining

References

References

Afzal, P., Fadakar Alghalandis, Y., Khakzad, A., Moarefvand, P. and Rashidnejad Omran, N., 2011- Delineation of mineralization zones in porphyry Cu deposits by fractal concentration–volume modeling. J Geochem Explor 108:220- 232.

Afzal, P., Fadakar Alghalandis, Y., Khakzad, A., Moarefvand, P., Rashidnejad, Omran, N. and Asadi Haroni, H., 2012- Application of power-spectrum–volume fractal method for detecting hypogene, supergene enrichment, leached & barren zones in Kahang Cu porphyry deposit, Central Iran. Journal of Geochemical Exploration 112, 131- 138.

Afzal, P., Khakzad, A., Moarefvand, P., Rashidnejad Omran, N., Esfandiari, B. and Fadakar Alghalandis, Y., 2010- Geochemical anomaly separation by multifractal modeling in Kahang (Gor Gor) porphyry system, Central Iran. J Geochem Explor 104:34- 46

Agterberg, F. P., 1995- Multifractal modeling of the sizes & grades of giant & supergiant deposits. International Geology Review 37, 1- 8.

Agterberg, F. P., Cheng, Q. and Wright, D. F., 1993- Fractal modeling of mineral deposits. In: Elbrond, J., Tang, X.(Eds.), 24thAPCOMsymposiumproceeding.Montreal, Canada;.p.43- 53.

Asadi Harooni, H., 2000- The Zarshuran gold deposit model applied in a mineral exploration GIS in Iran. PH.D. Thesis, Delft university, The Netherlands.

Carranza, E. J. M., 2008- Geochemical anomaly & mineral prospectivity mapping in GIS. Handbook of exploration and environmental geochemistry vol 11. Elsevier, Amsterdam.

Cheng, Q., Agterberg, F. P. and Ballantyne, S. B., 1994- The separation of geochemical anomalies from background by fractal methods. J Geochem Explor 51:109- 130.

David, M., 1977- Geostatistical Ore Reserve Estimation. Amsterdam: Elsevier, 283 p.

Deere, D. U. and Miller, R. P., 1966- Engineering classification and index properties for intact rock. Air Force Weapons Laboratory, Technical Report AFWL-TR-65-116, 277 p.

Deere, D. U., 1963- Tectichal description of rock cores for engineering purposes. Rock Mech., Engng Geol. 1, 18- 22.

Deng, J., Wang, Q., Yang, L., Wang, Y., Gong, Q. and Liu, H., 2010- Delineation and explanation of geochemical Anomalies using fractal models in the Heqing area, Yunnan Province, China. Journal of Geochemical Exploration 105, 95- 105.

Hustrulid, W. and Kuchta, M., 2006- Open pit mine planning & design. London: Taylor & Francis; 972.

Lima, A., De Vivo, B., Cicchella, D., Cortini, M. and Albanese, S., 2003- Multifractal IDW interpolation & fractal filtering method in environmental studies: an application on regional stream sediments of(Italy), Campania region. Appl Geochem; 18:1853- 65.

Mandelbrot, B., 1983- The fractal geometry of nature. Freeman & Company, New York. 468 pp.

Nazarpour, A., Omran, N. R. and Rostami Paydar, Gh., 2015b- Application of classical statistics, log ratio transformation & multifractal approaches to delineate geochemical anomalies in the Zarshuran gold district, NW Iran, . Chem. De Erde-Geochem.

Nazarpour, A., Rashidnejad Omran, N. and Rostami Paydar, Gh., 2015a- Application of multifractal models to identify geochemical anomalies in Zarshuran Au deposit, NW Iran. Arab J Geosci, 8:877- 889.

Nazarpour, A., Rostami Paydar, Gh. And Carranza, E. J. M., 2016- Stepwise regression for recognition of geochemical anomalies: Case study in Takab area, NW Iran. Journal of Geochemical Exploration 168, 150- 162.

Sadeghi, B., Moarefvand, P., Afzal, P., Yasrebi, A. B. and Daneshvar Saein, L., 2012- Application of fractal models to outline mineralized zones in the Zaghia iron ore deposit, Central Iran. J Geochem Explor 122: 9- 19, Special Issue“fractal/multifractal modelling of geochemica.

Turcotte, D. L., 1997- Fractals and Chaos in geology & geophysics. Cambridge: Cambridge University Press.

Wen, Z., JianPing, C., Qing, W., DongHe, M., Cencen, N. and Wu, Z., 2013- Investigation of RQD variation with scanline length & optimal threshold based on three-dimensional fracture network modeling, Science China Technological Sciences, Vol. 56(3), pp. 739-748.

Xie, H., 1993- Fractals in rock mechanics. Rotterdam: Taylor& Francis, 453p.

Yasrebi, A. B., Wetherelt, A., Foster, P. J., Afzal, P., Coggan, J. and Ahangaran, D. K., 2013- Application of RQD-Number and RQD-Volume multifractal modeling to delineate rock mass characterization in Kahang Cu-Mo porphyry deposit, central Iran. Arch. Min. Sci., Vol. 58, No 4, p. 1023- 1035

Scientific Quarterly Journal of Geosciences

Applying fractal models to delineation of rock quality designation in the Zarshuran gold deposit, Takab, Iran

References

References

Volume 28, Issue 111
Volume 28, Issue 111, spring 2019
May 2019
Pages 151-160

Applying fractal models to delineation of rock quality designation in the Zarshuran gold deposit, Takab, Iran

References

References

Volume 28, Issue 111Volume 28, Issue 111, spring 2019May 2019Pages 151-160

Volume 28, Issue 111
Volume 28, Issue 111, spring 2019
May 2019
Pages 151-160