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Author Armstrong, M.; Valencia, J.; Lagos, G.; Emery, X. doi  openurl
  Title Constructing Branching Trees of Geostatistical Simulations Type
  Year 2022 Publication Mathematical Geosciences Abbreviated Journal Math. Geosci.  
  Volume 54 Issue Pages 711-743  
  Keywords Mine planning; Multi-stage programming with recourse; Scenario reduction; Geological uncertainty; Adaptive optimisation  
  Abstract This paper proposes the use of multi-stage stochastic programming with recourse for optimised strategic open-pit mine planning. The key innovations are, firstly, that a branching tree of geostatistical simulations is developed to take account of uncertainty in ore grades, and secondly, scenario reduction techniques are applied to keep the trees to a manageable size. Our example shows that different mine plans would be optimal for the downside case when the deposit turns out to be of lower grade than expected compared to when it is of higher grade than expected. Our approach further provides th  
  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1874-8961 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000725900700001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1506  
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