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Simulation -- An Approach to Risk Analysis in Coal Mining

2000; Volume: 9; Issue: 1 Linguagem: Inglês

10.2113/0090043

1878-6715

João Felipe Coimbra Leite Costa,

Geological Modeling and Analysis

Research Article| January 01, 2000 Simulation — An Approach to Risk Analysis in Coal Mining JOÃO FELIPE COSTA; JOÃO FELIPE COSTA Mining Engineering Department, Federal University of Rio Grande do Sul, Porto Alegre, Brazil Search for other works by this author on: GSW Google Scholar ANDRÉ C. ZINGANO; ANDRÉ C. ZINGANO Mining Engineering Department, Federal University of Rio Grande do Sul, Porto Alegre, Brazil Search for other works by this author on: GSW Google Scholar JAIR CARLOS KOPPE JAIR CARLOS KOPPE Mining Engineering Department, Federal University of Rio Grande do Sul, Porto Alegre, Brazil Search for other works by this author on: GSW Google Scholar Exploration and Mining Geology (2000) 9 (1): 43–49. https://doi.org/10.2113/0090043 Article history received: 12 Sep 1999 accepted: 17 Aug 2000 first online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation JOÃO FELIPE COSTA, ANDRÉ C. ZINGANO, JAIR CARLOS KOPPE; Simulation — An Approach to Risk Analysis in Coal Mining. Exploration and Mining Geology 2000;; 9 (1): 43–49. doi: https://doi.org/10.2113/0090043 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentBy SocietyExploration and Mining Geology Search Advanced Search Abstract Traditional mine planning based on block models built with interpolation techniques such as kriging does not take into account the uncertainty associated with the estimates. These models are inadequate for short-range mine planning. In contrast, conditionally simulated models reproduce the actual variability (histogram) and spatial continuity (variogram) of the attributes of interest. Conditional simulation can be used to address the problem of measuring the uncertainty associated with an estimate. This paper outlines how the sequential Gaussian conditional simulation algorithm can be used to assess uncertainty of grade estimates and also illustrates how simulated models can be incorporated into mine planning and scheduling. A case study demonstrates the efficiency of the method in assessing risk associated with geological and engineering variables. You do not currently have access to this article.