Research Article
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Year 2019, Volume: 158 Issue: 158, 235 - 250, 25.04.2019
https://doi.org/10.19111/bulletinofmre.391835

Abstract

 

References

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  • Agterberg, F.P., Bonham-Carter, G.F., Wright, D.F. 1990. Statistical pattern integration for mineral exploration. In: Gaal G., Merriam D.F. (Eds.), Computer Applications in Resource Estimation Prediction and Assessment for Metals and Petroleum. Pergamon Press, Oxford New York, 1-21.
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  • Carranza, E. J. M. 2008. Geochemical anomaly and mineral prospectivity mapping in GIS. Handbook of Exploration and Environmental Geochemistry, Vol. 11. Elsevier, Amsterdam.
  • Carranza, E.J.M. 2009a. Mapping of anomalies in continuous and discrete fields of stream sediment geochemical landscapes. Geochemistry: Exploration, Environment, Analysis 10, 171-187.
  • Carranza, E.J.M. 2009b. Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features. Ore Geology Reviews 35, 383-400.
  • Carranza, E.J.M. 2010. Improved Wildcat Modelling of Mineral Prospectivity. Resource Geology 60(2), 129-149.
  • Carranza, E.J.M. 2014. Data-driven evidential belief modeling of mineral potential using few prospects and evidence with missing values. Natural Resources 24(3), 291-304.
  • Carranza, E.J.M., Hale, M. 2002. Mineral mapping with Landsat thematic mapper data for hydrothermal alteration mapping in heavily vegetated terrane. International Journal of Remote Sensing 23(22), 4827-4852.
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  • Chung, C.F., Agterberg, F. P. 1980. Regression models for estimating mineral resources from geological map data. Mathematical Geology 12(5), 472-488.
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  • Hezarkhani, A. 2008. Hydrothermal Evolution of the Sonajil Porphyry Copper System, East Azarbaijan Province, Iran: The History of an Uneconomic Deposit. International Geology Review 50(5), 483-501.
  • Hosseinzadeh, G. H., Mouayed, M., Esfehanipour, R. 2009. Supergene Processes in Sonajil Porphyry Copper Deposit With Respect To Using Of Leached Capping For Estimation of Supergene Enrichment in Porphyry Copper Deposits. Iranian Journal Of Geology Summer, Volume 3, Number 10; Page(s) 85 To 96.
  • Hosseinzadeh, M.R., Maghfouri,, S., Ghorbani, M., Moayyed, M. 2017. Different types of vein- veinlets related to mineralization and fluid inclusion studies in the Sonajil porphyry Cu- Mo deposit, Arasbaran magmatic zone. Scientific Quarterly Journal geosciences 26(101), 219-230.
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  • Jafarirad, A., Busch, W. 2011. Porphyry copper prospectivity mapping using interval valued fuzzy sets TOPSIS method in Central Iran. International Journal of Geographical Information Science 3, 312–317.
  • Jamali, H., Mehrabi, B. 2015. Relationships between arc maturity and Cu-Mo-Au porphyry and related epithermal mineralization at the Cenozoic Arasbaran Magmatic Belt. Ore Geology Reviews 65(2), 487-501.
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Porphyry copper prospectivity mapping using fuzzy and fractal modeling in Sonajeel area, NW Iran

Year 2019, Volume: 158 Issue: 158, 235 - 250, 25.04.2019
https://doi.org/10.19111/bulletinofmre.391835

Abstract

Main purpose of this
research is to present a local scale GIS-based mineral prospectivity model for prospecting
Cu porphyry mineralization, and to validate the produced model by field observation,
surface sampling and drilling data. Sonajeel area which is the subject of this study
is a part of Arasbaran mineralization belt, NW of Iran. Constructing a mathematical
exploratory algorithm based on a mineralization type is a complicated and interdisciplinary
task. For this purpose, results from processing and interpreting different data
sets including geology, geochemistry and remote sensing were considered. A comprehensive
exploratory integration model was built up considering the exploration stage and
the descriptive porphyry mineralization model suggested by Sillitoe (2010). In order
to prepare inputs for GIS-based exploration model, value assigned grids or evidence
layers were produced using fuzzy membership curves and then integrated via gamma
fuzzy function. In addition, for defuzzification and prioritizing the mineral prospectivity
map, a Concentration- Area (C-A) fractal model was applied on the pixel values of
the prospectivity map. Finally, the results were confirmed via field observation,
surface sampling and drilling. Borehole logs at the first priority displayed a Cu
mineralization zone with an average grade of 0.5%.

References

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  • Abedi, M., Mostafavi Kashani, S. B., Norouzi, G. H., Yousefi, M. 2017. A deposit scale mineral prospectivity analysis: A comparison of various knowledge-driven approaches for porphyry copper targeting in Seridune, Iran. Journal of African Earth Sciences 128, 127-146.
  • Afzal, P., Khakzad, A., Moarefvand, P., Rashidnejad Omran, N., Esfandiari, B., Fadakar Alghalandis, Y. 2010. Geochemical anomaly separation by multifractal modeling in Kahang (Gor Gor) porphyry system, Central Iran. Journal of Geochemical Exploration 104, 34-46.
  • Afzal, P., Zarifi, A. Z., Khankandi, S. F., Wetherelt, A., Yasrebi, A. B. 2012. Separation of uranium anomalies based on geophysical airborne analysis by using Konsantrasyon-Alan (C-A) Fractal Model, Mahneshan 1:50000 Sheet, NW IRAN. Journal of Mining and Metallurgy 48A(1), 1-11.
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  • Aghazadeh, M. 2014. Geological report of Sonajeel (1:5000), Koome Madan Company.
  • Agterberg, F.P., Bonham-Carter, G.F., Wright, D.F. 1990. Statistical pattern integration for mineral exploration. In: Gaal G., Merriam D.F. (Eds.), Computer Applications in Resource Estimation Prediction and Assessment for Metals and Petroleum. Pergamon Press, Oxford New York, 1-21.
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  • Carranza, E.J.M. 2009b. Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features. Ore Geology Reviews 35, 383-400.
  • Carranza, E.J.M. 2010. Improved Wildcat Modelling of Mineral Prospectivity. Resource Geology 60(2), 129-149.
  • Carranza, E.J.M. 2014. Data-driven evidential belief modeling of mineral potential using few prospects and evidence with missing values. Natural Resources 24(3), 291-304.
  • Carranza, E.J.M., Hale, M. 2002. Mineral mapping with Landsat thematic mapper data for hydrothermal alteration mapping in heavily vegetated terrane. International Journal of Remote Sensing 23(22), 4827-4852.
  • Cheng, Q., Agterberg, F. P., Ballantyne, S. B. 1994. The separation of geochemical anomalies from background by fractal methods. Journal of Geochemical Exploration 51(2), 109-130.
  • Chung, C.F., Agterberg, F. P. 1980. Regression models for estimating mineral resources from geological map data. Mathematical Geology 12(5), 472-488.
  • Chung, C.F., Moon, W. M. 1990. Combination rules of spatial geoscience data for mineral exploration. Geoinformatics 2, 159-169.
  • Davis, J.C. 2002. Statistics and Data Analysis in Geology, 3rd edn. John Wiley & Sons Inc, New York, pp. 342-353.
  • Deng, J., Wang, Q.F., Wan, L., Yang, L.Q., Liu, X.F. 2007. Singularity of Au distribution in alteration rock type deposit, an example from Dayingezhuang gold ore deposit. In: Zhao P.D., Agterberg F., Cheng Q.M. (Eds.), The 12th Conference of the International Association for Mathematical Geology, China University of Geosciences Press, Wuhan, pp. 44-47.
  • Deng, J., Wang, Q. F., Wan, L., Yang, L. Q., Zhou, L., Zhao, J. 2008. The random difference of the trace element distribution in skarn and marbles from Shizishan ore field, Anhui Province, China. Journal of China University of Geosciences 19(4), 123-137.
  • Ford, A., Miller, J. M., Mol, A.G. 2015. A comparative analysis of weights of evidence, evidential belief functions, and fuzzy logic for mineral potential mapping using incomplete data at the scale of investigation. Natural Resources Research 25, 19-33. Hassanpour, Sh., Afzal, P. 2013. Application of concentration-number (C-N) multifractal modelling for geochemical anomaly separation in Haftcheshmeh porphyry system, NW Iran. Arabian Journal of Geosciences 6(3), 957-970.
  • Hezarkhani, A. 2008. Hydrothermal Evolution of the Sonajil Porphyry Copper System, East Azarbaijan Province, Iran: The History of an Uneconomic Deposit. International Geology Review 50(5), 483-501.
  • Hosseinzadeh, G. H., Mouayed, M., Esfehanipour, R. 2009. Supergene Processes in Sonajil Porphyry Copper Deposit With Respect To Using Of Leached Capping For Estimation of Supergene Enrichment in Porphyry Copper Deposits. Iranian Journal Of Geology Summer, Volume 3, Number 10; Page(s) 85 To 96.
  • Hosseinzadeh, M.R., Maghfouri,, S., Ghorbani, M., Moayyed, M. 2017. Different types of vein- veinlets related to mineralization and fluid inclusion studies in the Sonajil porphyry Cu- Mo deposit, Arasbaran magmatic zone. Scientific Quarterly Journal geosciences 26(101), 219-230.
  • Jafarirad, A. 2009. Modeling of conceptual and empirical geospatial datasets for mineral prospecting mapping. PhD thesis, TUC, Germany, 190 pp.
  • Jafarirad, A., Busch, W. 2011. Porphyry copper prospectivity mapping using interval valued fuzzy sets TOPSIS method in Central Iran. International Journal of Geographical Information Science 3, 312–317.
  • Jamali, H., Mehrabi, B. 2015. Relationships between arc maturity and Cu-Mo-Au porphyry and related epithermal mineralization at the Cenozoic Arasbaran Magmatic Belt. Ore Geology Reviews 65(2), 487-501.
  • Joly, A., Porwal A., McCuaig, T.C. 2012. Exploration targeting for orogenic gold deposits in the Granites-Tanami Orogen: Mineral system analysis, targeting model and prospectivity analysis. Ore Geology Reviews 48, 349-383.
  • Karimi, M., Valadan Zoj, M.J. 2009. Mineral Potential Modeling of Sonajil Copper Prospect Using Fuzzy logic and GIS. Materials and Energy. Quarterly Journal of Science Kharazmi University 8(3), 265-282.
  • Karimzadeh Somarin, A. 2005. Petrology and geochemistry of early tertiary volcanism of the Mendejin area, Iran, and implications for magma genesis and tectonomagmatic setting. Geodinamica Acta 18(5), 343-362.
  • Lisitsin, V.A., González-Álvarez, I., Porwal, A. 2013. Regional prospectivity analysis for hydrothermal- remobilized nickel mineral systems in western Victoria, Australia. Ore Geology Reviews 52,100- 112.
  • Lowell, J.D., Guilbert, J.M. 1970. Lateral and vertical alteration-mineralization zoning in porphyry ore deposits. Economic Geology 65(4), 373-408.
  • Lusty, P.A.J., Scheib, C., Gunn, A.G., Walker, A.S.D. 2012. Reconnaissance-scale prospectivity analysis for gold mineralization in the Southern Uplands- Down-Longford Terrane, Northern Ireland. Natural Resources Research 21(3), 359-382.
  • Magalhaes, L.A., Souza Filho, C.R. 2012. Targeting of gold deposits in Amazonian exploration frontiers using knowledge- and data-driven spatial modeling of geophysical, geochemical and geological data. Surveys in Geophysics 33(2), 211-214.
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There are 71 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Zahra Yazdi This is me

Alireza Jafari Rad

Mehraj Aghazadeh This is me

Peyman Afzal This is me

Publication Date April 25, 2019
Published in Issue Year 2019 Volume: 158 Issue: 158

Cite

APA Yazdi, Z., Jafari Rad, A., Aghazadeh, M., Afzal, P. (2019). Porphyry copper prospectivity mapping using fuzzy and fractal modeling in Sonajeel area, NW Iran. Bulletin of the Mineral Research and Exploration, 158(158), 235-250. https://doi.org/10.19111/bulletinofmre.391835
AMA Yazdi Z, Jafari Rad A, Aghazadeh M, Afzal P. Porphyry copper prospectivity mapping using fuzzy and fractal modeling in Sonajeel area, NW Iran. Bull.Min.Res.Exp. April 2019;158(158):235-250. doi:10.19111/bulletinofmre.391835
Chicago Yazdi, Zahra, Alireza Jafari Rad, Mehraj Aghazadeh, and Peyman Afzal. “Porphyry Copper Prospectivity Mapping Using Fuzzy and Fractal Modeling in Sonajeel Area, NW Iran”. Bulletin of the Mineral Research and Exploration 158, no. 158 (April 2019): 235-50. https://doi.org/10.19111/bulletinofmre.391835.
EndNote Yazdi Z, Jafari Rad A, Aghazadeh M, Afzal P (April 1, 2019) Porphyry copper prospectivity mapping using fuzzy and fractal modeling in Sonajeel area, NW Iran. Bulletin of the Mineral Research and Exploration 158 158 235–250.
IEEE Z. Yazdi, A. Jafari Rad, M. Aghazadeh, and P. Afzal, “Porphyry copper prospectivity mapping using fuzzy and fractal modeling in Sonajeel area, NW Iran”, Bull.Min.Res.Exp., vol. 158, no. 158, pp. 235–250, 2019, doi: 10.19111/bulletinofmre.391835.
ISNAD Yazdi, Zahra et al. “Porphyry Copper Prospectivity Mapping Using Fuzzy and Fractal Modeling in Sonajeel Area, NW Iran”. Bulletin of the Mineral Research and Exploration 158/158 (April 2019), 235-250. https://doi.org/10.19111/bulletinofmre.391835.
JAMA Yazdi Z, Jafari Rad A, Aghazadeh M, Afzal P. Porphyry copper prospectivity mapping using fuzzy and fractal modeling in Sonajeel area, NW Iran. Bull.Min.Res.Exp. 2019;158:235–250.
MLA Yazdi, Zahra et al. “Porphyry Copper Prospectivity Mapping Using Fuzzy and Fractal Modeling in Sonajeel Area, NW Iran”. Bulletin of the Mineral Research and Exploration, vol. 158, no. 158, 2019, pp. 235-50, doi:10.19111/bulletinofmre.391835.
Vancouver Yazdi Z, Jafari Rad A, Aghazadeh M, Afzal P. Porphyry copper prospectivity mapping using fuzzy and fractal modeling in Sonajeel area, NW Iran. Bull.Min.Res.Exp. 2019;158(158):235-50.

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