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This study aims to propose a novel artificial intelligence model for forecasting the capital cost (CC) of open-pit mining projects with high accuracy. It is a unique combination of a deep neural network (DNN) and ant colony optimization (ACO) algorithm, abbreviated as ACO-DNN. In this model, MineAP (annual mine production), SR (stripping ratio), MillAP …
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From the revenue and cost component aspects, almost all of the cutoff grade determination models considered sales revenue, mining cost, processing/concentrating cost, marketing cost and fixed cost ...
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This article studies optimization of open pit mining using mining and geological information systems and technologies. ... and life of mine for forecasting mining capital cost (MCC) for open pit ...
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A mining complex is a value chain with multiple components: deposits, stockpiles, processing destinations and transportation systems. Optimizing a mining complex demands the simultaneous optimization of all its components, a problem known in the mining literature as global optimization of mining (Whittle 2007, 2018).Several …
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The author(s) have found that there is no consensus about how to deal with royalties and sustaining capital costs in the process of the open pit mine design. This presentation is an attempt to layout a common path for dealing with these two important items and to open a forum to discuss it in detail.
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It is important that the strategic mine plan makes optimum use of available resources and provides continuous quality ore to drive sustainable mining and profitability. This requires the development of a well-integrated strategy of mining options for surface and/or underground mining and their interactions. Understanding the current tools and …
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A new open-pit mine planning optimization method using block aggregation and integer programming @article{Mai2018ANO, title={A new open-pit mine planning optimization method using block aggregation and integer programming}, author={Ngoc Hoang Anh Mai and Erkan Topal and Oktay Erten}, journal={Journal of The South …
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What is the pit optimization problem? ... capital decisions, costs and commodity prices. The block extraction sequence is delivered on a block-by-block basis to provide clear guidance for phase selection. ... Beyond the ultimate pit shape and ore routing, internal phase selection has an immense impact on the value of any open pit. …
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The open pit design and scheduling problem is a large-scale optimization problem that has attracted considerable attention during the last 40 years The development of the "know-how" to improve economics of open pit …
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production rates, operating capital cost, metallurgical performance and product quality. On the other hand, ... open pit optimization under uncertain market con-ditions.
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In this paper, in order to achieve a reliable cost model, the technical and economic data of 15 open pit porphyry copper mines …
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The discount rate applied could be regarded as pure cost of capital. It is the rate of return a company must generate to compensate its investors. A risk-adjusted discount rate should be applied in the subsequent cash flow analysis. ... Open pit optimization - strategies for improving economics of mining projects through mine planning.
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Because of high capacities, excellent flexibility, and relatively low operating and capital costs, excavators and dump trucks represent the most widely used load-and-haul method in open-pit mines . Considerable attention has been paid to the factors that affect excavator performance, especially during the bucket cycle [22,23].
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signed off. These inputs are then used to generate pit shells and to select the optimized pit shell, which is then used for detailed pit design and scheduling. Pit optimization is a technique applied on a mineral deposit to estimate the shape and extent of a potential ore reserve. The optimization strategy applied by Gemcom Whittle software is ...
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Open pit mines operation costs highly depends on material handling. 50 to 60 percent of operating costs in an open pit mine is spent on digging and transporting the material.
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Keywords: Open-pit optimization-strategies; Mining capital cost optimization; AI in resources policy; Project decision making; ACO-DNN; Deep neural network (search for similar items in EconPapers) Date: 2020 References: View references in EconPapers View complete reference list from CitEc
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Pit-by-Pit Graph Comparison. Scenario 1 (underestimated cut-off grade) produces an optimal pit shell number 15 with a much larger inventory of 186,481kt of Ore @ 0.7% Cu and 228,899kt of Waste.
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Mining capital cost (MCC) is one of the essential criteria for asses-sing the feasibility of an open-pit mine (or underground mine). The MCC heavily influences the net present value (NPV) of the projects over the lifetime of the mine. In open-pit mining, optimization issues in designing and mining planning have been made (e.g. Ahmadi and
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A stochastic optimization formulation for the transition from open pit to underground mining James A. L. MacNeil 1 • Roussos G. Dimitrakopoulos 1,2 Received: 27 December 2015 / Revised: 31 January 2017 / Accepted: 27 May 2017 Ó The Author(s) 2017. This article is an open access publication Abstract As open pit mining of a mineral deposit …
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waste. Grade tonnage data used in the case study was simulated to represent the geologic uncertainty associated to low-grade mineral deposits. Results from the hypothetical case …
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CUT-OFF GRADE OPTIMIZATION OF OPEN PIT MINES WITH MULTIPLE PROCESSING STREAMS by Michael Nash Pettingell B.Sc., The University of South Carolina, 2010 A THESIS SUBMITTED IN PARTIAL FULLFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE in THE FACULTY OF GRADUATE …
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The implementation of mine planning software and mine monitoring systems have resulted in significant increases in production and revenue while realizing lower …
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To establish the fundamental principle of this model, in the beginning, capital cost data of the 52 open pit porphyry copper mine were stored in a database. Section snippets Literature review. ... open pit mining methods, open pit optimization techniques, mine closure, reclamation, and mine sustainable development. Professor Osanloo …
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The open pit design and scheduling problem is a large-scale optimization problem that has attracted considerable attention during the last 40 years The development of the "know-how" to improve ...
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Developed an ANN model for estimating mining capital cost for open-pit mining projects with high accuracy. ... The MCC heavily influences the net present value …
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Table 5 Incremental Pit Value Analysis Table 4 Figures Used During the Optimisation Cost per tonne of mining Cost per tonne of processing Price of gold Selling cost Capital cost Discount rate Variable bench cost Mining recovery Mining dilution Overall pit slope angle Revenue factor range $ 5.913 $ 10.622 $32.15/g ($915/oz) $0.88/g ($25/oz) $55 ...
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The tradition way of open pit mine design just takes the operating and capital costs into account while the ecological costs of mining to ecological environment is not a concern at all.
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DOI: 10.1016/J.RESOURPOL.2019.101474 Corpus ID: 202311836; Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach @article{Guo2019ForecastingMC, title={Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach}, …
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The simultaneous stochastic optimization of mining complexes optimizes various components of the related mineral value chain jointly while considering material supply (geological) uncertainty. As a result, the optimization process capitalizes on the synergies between the components of the system while not only quantifying and …
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This study aims to propose a novel artificial intelligence model for forecasting the capital cost (CC) of open-pit mining projects with high accuracy. It is a unique combination of a deep neural network (DNN) and ant colony optimization (ACO) algorithm, abbreviated as ACO-DNN.
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