An automated production targeting goal programming framework for oil sands mine planning considering organic rich solids

A. Maremi, E. Ben-Awuah, Y. Pourrahimian
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引用次数: 2

Abstract

ABSTRACT In oil sands mining, bitumen and fines contents are used to predict ore processability. However, experimental results show that certain solid fractions known as Organic Rich Solids (ORS) negatively affect the overall bitumen recovery. A conceptual mine planning framework based on a goal programming model for oil sands production scheduling and waste management is presented. Bitumen recovery is additionally adjusted based on the ORS content. The model features automated production targeting (APT) and limited duration stockpiling constraints that optimize the annual production capacities. The model is implemented with two scenarios. Scenario 1 uses processing recovery calculated based on Alberta Energy Regulatory requirements while Scenario 2 uses processing recovery additionally adjusted based on ORS content. Results for Scenario 1 show a 3.46% overestimation of net present value compared to Scenario 2. The APT constraints provide planners a robust and efficient technique for determining annual production tonnages with minimum periodic variations.
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考虑富有机固体的油砂矿山规划自动化生产目标规划框架
在油砂开采中,沥青和细粉含量被用来预测矿石的可加工性。然而,实验结果表明,某些被称为富有机固体(ORS)的固体组分会对沥青的整体采收率产生负面影响。提出了一种基于目标规划模型的油砂生产调度与废弃物管理概念规划框架。根据ORS含量对沥青采收率进行额外调整。该模型具有自动化生产目标(APT)和限时库存约束,可优化年生产能力。该模型由两个场景实现。场景1使用根据阿尔伯塔能源法规要求计算的处理回收,而场景2使用根据ORS内容进行额外调整的处理回收。与情景2相比,情景1的结果显示净现值高估了3.46%。APT约束为规划人员提供了一种强大而有效的技术,可以以最小的周期变化确定年产量。
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
5
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