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
{"title":"Improvements to production planning in oil sands mining through analysis and simulation of truck cycle times","authors":"E. Cervantes, S. Upadhyay, H. Askari-Nasab","doi":"10.15834/cimj.2019.1","DOIUrl":null,"url":null,"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.","PeriodicalId":197002,"journal":{"name":"CIM Journal","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CIM Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15834/cimj.2019.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信