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Ore Geology Reviews 37 (2010) 2–14 Contents lists available at ScienceDirect Ore Geology Reviews journal h omepage: www.el /l ocate/oregeorev Fractal models for ore reserve estimation Qingfei Wang a,b, Jun Deng a,b,⁎, Huan Liu a,b, Liqiang Yang a,b, Li Wan a,c, Ruizhong Zhang a,b a State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, Peoples Republic of China b Key Laboratory of Lithosphere Tectonics and Lithoprobing Technology of Ministry of Education, China University of Geosciences, Beijing 100083, Peoples Republic of China c School of Mathematics and Information Science, Guangzhou University, Guangzhou, Guangdong 510006, Peoples Republic of China a r t i c l e i n f o a b s t r a c t Article history: Traditional geometric and geostatistic methods for reserve estimation in a single deposit are difficult to use with Received 9 May 2009 skewed distribution mineralization variables including grade, orebody thickness and grade–thickness, a common Received in revised form 11 November 2009 characteristic of most deposits, and require complex data processing. It has been shown that the skewed Accepted 11 November 2009 mineralization variables can be described by the number–size model in a fractal domain. Based on the number– Available online 18 November 2009 size model, assuming that orebody thickness and grade–thickness are continuous variables, the fractal model for