Integrating geological uncertainty in long-term open pit mine production planning by ant colony optimization

Gilani, Seyyed-Omid; Sattarvand, Javad

doi:10.1016/j.cageo.2015.11.008

Cited by 37 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Goovaerts 1997;Soares et al 2017;Zagayevskiy and Deutsch 2016). Such scheduling optimizers have been long shown to increase the net present value of an operation, while providing a schedule that defers risk and has a high probability of meeting metal production and cash flow targets (Godoy 2003;Ramazan and Dimitrakopoulos 2005;Jewbali 2006;Kumral 2010;Albor and Dimitrakopoulos 2010;Goodfellow 2014;Montiel 2014;Gilani and Sattarvand 2016;and others). Implementing such frameworks is extremely valuable when making longterm strategic decisions because of their ability to accurately value assets.…”

Section: Introductionmentioning

confidence: 99%

A stochastic optimization formulation for the transition from open pit to underground mining

MacNeil

Dimitrakopoulos

2017

Optim Eng

View full text Add to dashboard Cite

As open pit mining of a mineral deposit deepens, the cost of extraction may increase up to a threshold where transitioning to mining through underground methods is more profitable. This paper provides an approach to determine an optimal depth at which a mine should transition from open pit to underground mining, based on managing technical risk. The value of a set of candidate transition depths is calculated by optimizing the production schedules for each depth's unique open pit and underground operations which provide yearly discounted cash flow projections. By considering the sum of the open pit and underground mining portion's value, the most profitable candidate transition depth is identified. The optimization model presented is based on a stochastic integer program that integrates geological uncertainty and manages technical risk. The proposed approach is tested on a gold deposit. Results show the benefits of managing geological uncertainty in long-term strategic decision-making frameworks. Additionally, the stochastic result produces a 9% net present value increase over a similar deterministic formulation. The risk-managing stochastic framework also produces operational schedules that reduce a mining project's susceptibility to geological risk. This work aims to approve on previous attempts to solve this problem by jointly considering geological uncertainty and describing the optimal transition depth effectively in 3-dimensions.

show abstract

Section: Introductionmentioning

confidence: 99%

A stochastic optimization formulation for the transition from open pit to underground mining

MacNeil

Dimitrakopoulos

2017

Optim Eng

View full text Add to dashboard Cite

show abstract

“…Lamghari and Dimitrakopoulos 2012) or evolutionary approaches (e.g. Gilani andSattervand 2015, Bijmolt 2016) provide computationally efficient alternatives with a reasonable close-tooptimum result.…”

Section: Optimization Under Geological Uncertaintymentioning

confidence: 99%

Recent Developments in Closed-Loop Approaches for Real-Time Mining and Petroleum Extraction

Benndorf

2017

Math Geosci

View full text Add to dashboard Cite

Advanced data acquisition and process modelling technology provide 'real-time' data and decision support capacity for different aspects of the resource extraction process. Closed-loop approaches have recently been applied to utilize information extracted from these data in combination with advanced computing technology for improved production control in mineral resource extraction. Similar techniques have been developed in the petroleum industry combining computer-assisted model updating with model-based production optimization. This contribution reviews recent developments and methods applied, highlights differences and assesses the potential value added for both application domains. The focus here is on the two main constituents of closed-loop concepts, data assimilation and optimization. Technological readiness of the constituents is assessed, and gaps for further technology development are identified. The value added is illustrated by means of selected cases. Key Wordsclosed-loop reservoir management, real-time mining, data assimilation, optimization Published as Benndorf, J. and Jansen, J.D., 2017: Recent developments in closed-loop approaches for realtime mining and petroleum extraction. Mathematical Geosciences 49 (3) 277-306.

show abstract

“…The idea of the ant colony algorithm is to mimic this behaviour with 'simulated ants' walking around the graph representing the problem to be solved. The ACO algorithm has been used for optimization of mine production scheduling by Gilani and Sattarvand (2016). Metropolis et al (1953) used Monte Carlo simulation to develop the simulated annealing (SA) algorithm for simulating a collection of particles in thermal equilibrium at a given temperature, T. Annealing is a heat treatment process that involves heating a metal to above its recrystallization temperature followed by gradual cooling in still air or quenching in water in order to produce a workable metal that is more ductile and less hard, as its lattice structure is altered v in the process.…”

Section: Optimization In Underground Mine Planning-developments and Omentioning

confidence: 99%

Presidential Address: Optimization in underground mine planning- developments and opportunities

Musingwini

2016

J. South. Afr. Inst. Min. Metall.

View full text Add to dashboard Cite

Integrating geological uncertainty in long-term open pit mine production planning by ant colony optimization

Cited by 37 publications

References 10 publications

A stochastic optimization formulation for the transition from open pit to underground mining

A stochastic optimization formulation for the transition from open pit to underground mining

Recent Developments in Closed-Loop Approaches for Real-Time Mining and Petroleum Extraction

Presidential Address: Optimization in underground mine planning- developments and opportunities

Contact Info

Product

Resources

About