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School of Mining and Geosciences: Recent submissions

  • Application of predictive data mining to create mine plan flexibility in the face of geological uncertainty 
    Ajak, Ajak Duany; Lilford, Eric; Topal, Erkan (Resources Policy, 2017-11-10)
    Abstract Geological uncertainty represents an inherent threat for all mining projects. Mining operations utilise resource block models as a primary source of data in planning and in decision making. However, such operational ...
  • Bayesian prediction of TBM penetration rate in rock mass 
    Adoko, Amoussou Coffi; Gokceoglu, Candan; Yagiz, Saffet (Engineering Geology, 2017-08-30)
    Abstract One of the essential tasks in the excavation of tunnels with TBM is the reliable estimation of its performance needed for the planning, cost control and other decision making on the feasibility of the tunneling ...
  • A new generic open pit mine planning process with risk assessment ability 
    Mai, Ngoc Luan; Erten, Oktay; Topal, Erkan (International Journal of Coal Science and Technology, 2016-12-17)
    Conventionally, mining industry relies on a deterministic view, where a unique mine plan is determined based on a single resource model. A major shortfall of this approach is the inability to assess the risk caused by the ...
  • The changing water cycle: Burabay National Nature Park, Northern Kazakhstan 
    Yapiyev, Vadim; Sagintayev, Zhanay; Verhoef, Anne; Kassymbekova, Anara; Baigaliyeva, Marzhan; Zhumabayev, Dauren; Malgazhdar, Daniyar; Abudanash, Damira; Ongdas, Nurlan; Jumassultanova, Saltanat (Wires Water, 2017)
    Water resources in Central Asia are scarce, so complicated issues arise from this. Kazakhstan is a Central Asian landlocked country, which has mostly closed drainage basins, characterized by endorheic lakes that do not ...
  • Geostatistical Simulation of Cross-Correlated Variables: a Case Study through Cerro Matoso Nickel-Laterite Deposit 
    Madani, Nasser; Ortiz, Julian (The 26th International Symposium on Mine Planning and Equipment Selection, 2017-08-31)
    Geostatistical methods have been increasingly used as powerful techniques for predicting spatial attributes and modelling the uncertainty of predictions in un-sampled locations, especially through multi-element deposits. ...