Application of concentration-number and concentration-volume fractal models to recognize mineralized zones in North Anomaly iron ore deposit, central Iran

• Autorzy: Afzal P. , Ghasempour R. , Mokhtari A. R. , Haroni H. A.

Identyfikatory

DOI

10.1515/amsc-2015-0051

Warianty tytułu

PL

Zastosowanie modeli fraktalnych typu K-L (koncentracja-liczba), oraz K-O (koncentracja-objętość) do rozpoznawania stref występowania surowców mineralnych w regionie złóż rud żelaza North Anomaly, w środkowym Iranie

• Języki publikacji: EN

Abstrakty

EN

Identification of various mineralized zones in an ore deposit is essential for mine planning and design. This study aims to distinguish the different mineralized zones and the wall rock in the Central block of North Anomaly iron ore deposit situated in Bafq (Central Iran) utilizing the concentration-number (C-N) and concentration-volume (C-V) fractal models. The C-N model indicates four mineralized zones described by Fe thresholds of 8%, 21%, and 50%, with zones <8% and >50% Fe representing wall rocks and highly mineralized zone, respectively. The C-V model reveals geochemical zones defined by Fe thresholds of 12%, 21%, 43% and 57%, with zones <12% Fe demonstrating wall rocks. Both the C-N and C-V models show that highly mineralized zones are situated in the central and western parts of the ore deposit. The results of validation of the fractal models with the geological model show that the C-N fractal model of highly mineralized zones is better than the C-V fractal model of highly mineralized zones based on logratio matrix.

PL

Identyfikacja stref występowania surowców mineralnych jest kwestia kluczową przy planowaniu wydobycia i projektowaniu kopalni. Celem pracy jest rozróżnienie stref o różnej zawartości surowców mineralnych oraz pasma skalnego w środkowej części zagłębia Bafq (środkowa cześć Iranu) przy wykorzystaniu modeli fraktalnych typu koncentracja-liczba i koncentracja-objętość. Model koncentracja-liczba pozwala na wyróżnienie czterech stref występowania surowca, definiowanych poprzez progową zawartość żelaza w rudzie na poziomie 8%, 21%, i 50% oraz strefy <8% i >50% zawartości żelaza, co odpowiada pasmu skalnemu oraz strefie o wysokim stopniu zawartości rudy. Model koncentracja-objętość wskazuje na istnienie stref geochemicznych określonych poprzez progowe wartości zawartości żelaza: 12%, 21%, 43% i 57 % oraz strefy <12%, co odpowiada ścianie skalnej. Obydwa modele stwierdzają obecność stref o wysokim stopniu zawartości surowca w środkowej i zachodniej części złoża. Wyniki walidacji modeli fraktalnych przy użyciu modeli geologicznych wskazują, ze model fraktalny koncentracja-liczba lepiej odwzorowuje obecność stref o wysokiej zawartości rud niż model fraktalny typu koncentracja-objętość.

Słowa kluczowe

EN

Concentration-Number (C-N); Concentration-Volume (C-V); fractal models; iron ore; North Anomaly

PL

model koncentracja-liczba; model koncentracja-objętość; modele fraktalne; ruda żelaza; North Anomaly

• Wydawca: Instytut Mechaniki Górotworu PAN
• Czasopismo: Archives of Mining Sciences
• Rocznik: 2015
• Tom: Vol. 60, no. 3
• Strony: 777--789
• Opis fizyczny: Bibliogr. 31 poz., tab., wykr.

Twórcy

autor

Afzal P.

• Department of Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

autor

Ghasempour R.

• Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran

autor

Mokhtari A. R.

• Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran

autor

Haroni H. A.

• University of Western Australia, Crawley, Wa 6009

Bibliografia

• [1] Afzal P., Mahvi M.R., Esfandiari B., 2009. 3D modeling of North Anomaly iron ore, Bafq. Earth and Resources Journal, 3, 1-12 (In Persian with English Abstract).
• [2] Afzal P., Fadakar Alghalandis Y., Khakzad A., Moarefvand P., Rashidnejad Omran N., 2010. Application of Power Spectrum-Area fractal model to separate anomalies from background in Kahang Cu-Mo Porphyry Deposit, Central Iran. Arch. Min. Sci., 55, 3, 389-401.
• [3] Afzal P., Fadakar Alghalandis Y., Khakzad A., Moarefvand P., Rashidnejad Omran N., 2011. Delineation of Mineralization Zones in Porphyry Cu Deposits By Fractal Concentration-Volume Modeling. Journal of Geochemical Exploration, 108, 220-232.
• [4] Afzal P., Fadakar Alghalandis Y., Moarefvand P., Rashidnejad Omran N., Asadi Haroni H., 2012. Application of powerspectrum-volume fractal method for detecting hypogene, supergene enrichment, leached and barren zones in Katang Cu porphyry deposit, Central Iran. Journal of Geochemical Exploration, 112, 131-138.
• [5] Afzal P., Dadashzadeh Ahari H., Rashidnejad Omran N., Aliyari F., 2013. Delineation of gold mineralized zones using concentration-volume fractal model in Qolqoleh gold deposit, NW Iran. Ore Geology Reviews, 55, 125-133.
• [6] Agterberg F.P., 1995. Multifractal modeling of the sizes and Grades of Giant and Supergiant Deposits. International Geology Review, 37, 1-8.
• [7] Agterberg F.P., Cheng Q., Wright D.F., 1993. Fractal Modeling Of Mineral Deposits. [In:] Elbrond J., Tang X. (Eds.), 24th APCOM Symposium Proceeding, Montreal, Canada, p. 43-53.
• [8] Agterberg F.P., Cheng Q., Brown A., Good D., 1996. Multifractal Modeling Of Fractures in the Lac Du Bonnet Batholith, Manitoba. Computers and Geosciences, 22, 497-507.
• [9] Bai J., Porwal A., Hart C., Ford A., Yu L., 2010. Mapping Geochemical Singularity Using Multifractal Analysis: Application to Anomaly Definition on Stream Sediments Data from Funin Sheet, Yunnan, China. Journal of Geochernical Exploration, 104, 1-11.
• [10] Bonyadi Z., Davidson G.J., Mehrabi B., Meffre S., Ghazban F., 2011. Significance of apatite REE depletion and monazite inclusions in the brecciated Se–Chahun iron oxide–apatite deposit, Bafq district, Iran: insights from paragenesis and geochemistry. Chemical Geology, 281, 253-269.
• [11] Carranza E.J.M., 2011. Analysis and Mapping of Geochemical Anomalies Using Logratio-Transformed Stream Sediment Data with Censored Values. Journal of Geochemical Exploration, 110, 167-185.
• [12] Cheng Q, Agterberg F.P., Ballantyne S.B., 1994. The Separation of Geochemical Anomalies from Background by Fractal Methods. Journal of Geochemical Exploration, 51, 109-130.
• [13] Cheng Q., Xu Y., Grunsky E., 1999. Integrated spatial and spectral analysis for geochemical anomaly separation. [In:] Proc. of the Conference of the International Association for Mathematical Geology, S.J. Lippard, A. Naess, R. Sinding-Larsen (Eds.) Trondheim, Norway, Vol. 1, 87-92.
• [14] Cheng Q., Agterberg F.P., 2009. Singularity analysis of ore-mineral and toxic trace elements in stream sediments. Computers & Geosciences, 35(2), 234-244.
• [15] Cox D., Singer D., 1986. Mineral Deposits Models. U.S. Geological Survey Bulletin, 1693 p.
• [16] Daliran F., Heins-Guenter S., 2005. Geology and metallogenesis of the phosphate and rare earth element resources of the Bafq iron-ore district, central Iran. Proceedings of the 20th World Mining Congress, Iran, p. 357-361.
• [17] Davis J.C., 2002. Statistics and data analysis in Geology. (3th ed.). John Wiley & Sons Inc., New York.
• [18] Förster H.J., Jafarzadeh A., 1994. The Bafq mining district in Central Iran - a highly mineralized Infracambrian volcanic field. Economic Geology, 89, 1697-1721.
• [19] Goncalves M.A., 2001. Characterization of Geochemical Distributions Using Multifractal Models. Math. Geol., 33 (1), 41-61.
• [20] 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, 957-970.
• [21] Hitzman M.W., Oreskes N., Einaudi M.T., 1992. Geological characteristics and tectonic setting of Proterozoic iron oxide (Cu-U-Au-REE) deposits. Precambrian Research, 58, 241-287.
• [22] Laznicka P., 2005. Giant Metallic Deposits Future Sources of Industrial Metals, Springer-Verlag, 732 p.
• [23] Li C., Ma T., Shi J., 2003. Application of a fractal method relating concentrations and distances for separation of geochemical anomalies from background. Journal of Geochemical Exploration, 77, 167-175.
• [24] Jami M., Dunlop A.C., Cohen D.R., 2007. Fluid inclusion and stable isotope study of the Esfordi apatite-magnetite deposit, Central Iran. Economic Geology, 102, 1111-1128.
• [25] Mandelbrot B.B., 1983. The Fractal Geometry of Nature (Updated and Augmented Edition). W.H. Freeman, San Francisco, CA.
• [26] Monecke T., Monecke J., Herzig P.M., Gemmell J.B., Monch W., 2005. Truncated fractal frequency distribution of element abundance data: A dynamic model for the metasomatic enrichment of base and precious metals. Earth and Planetary Science Letters, 232, 363-378.
• [27] Sadeghi B. Moarefvand P., Afzal P., Yasrebi A.B., Daneshvar Saein L., 2012. Application of Fractal Models to Outline Mineralized Zones in the Zaghia Iron Ore Deposit, Central Iran. Journal of Geochemical Exploration, 122, 9-19.
• [28] Samani B.A., 1988. Metallogeny of the Precambrian in Iran. Precambrian Research, 39, 85-106.
• [29] Sanderson D.J., Roberts S., Gumiel P., 1994. A Fractal relationship between vein thickness and gold grade in drill core from La Codosera, Spain. Economic Geology, 89, 168-173.
• [30] Shayestehfar M.R., Zarrabi A., Sharafi A., Yazdi A., 2006. Petrology, petrography and mineralographical studies of “Choghart Iron Ore Mine”, Bafgh area, Iran. Geochimica et Cosmochimica Acta, 70, A578.
• [31] Zuo R., Xia Q., Wang H., 2013a. Compositional data analysis in the study of integrated geochemical anomalies associated with mineralization. Applied Geochemistry, 28, 202-211.