Improvements to production planning in oil sands mining through analysis and simulation of truck cycle times

CIM Journal Pub Date : 2019-01-15 DOI:10.15834/cimj.2019.1
E. Cervantes, S. Upadhyay, H. Askari-Nasab
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引用次数: 5

Abstract

A theoretical framework based on a detailed analysis of mine operations data from an oil sands mine in northern Alberta and the static simulation of truck cycle times is developed, verified and validated in this paper. Implementation of this framework provides better results than existing inhouse tools, which rely solely on manufacturer data, and thus aids in efficient equipment planning for life of mine plans. The use of this framework to modify existing productivity curve estimation methods currently in use at the mine site is also proposed. This method replaces “loaded flat haul” with “effective loaded flat haul” in the estimation of productivity. Validation of the model presents an over estimation of productivity by 4% against an underestimation of over 10% by the existing in-house method.
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通过卡车循环时间的分析和模拟改进油砂开采生产计划
本文在详细分析艾伯塔省北部某油砂矿山作业数据和卡车循环时间静态模拟的基础上,建立了一个理论框架,并对其进行了验证和验证。与仅依赖制造商数据的现有内部工具相比,该框架的实施提供了更好的结果,从而有助于有效地为矿山寿命计划进行设备规划。本文还提出了利用该框架来改进目前在矿山现场使用的现有生产力曲线估计方法。该方法用“有效负载平运”代替“负载平运”来估算生产率。模型的验证表明,现有的内部方法对生产率的估计超过了4%,而低估了10%以上。
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