Comparative assessment of heap leach production data – 1. A procedure for deriving the batch leach curve

Staden, P.J. van; Колесников, А. В.; Petersen, Jochen

doi:10.1016/j.mineng.2016.11.009

Cited by 9 publications

(5 citation statements)

References 4 publications

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“…Around 20% of the world's copper production is obtained by heap leaching. This process has been modeled by many authors; however, the validation, verification and implementation of these models are difficult since there is uncertainty about the operating conditions and parameters of the leaching model [24][25][26].…”

Section: Mathematical Modeling Of Heap Leachingmentioning

confidence: 99%

Optimization of the Heap Leaching Process through Changes in Modes of Operation and Discrete Event Simulation

et al. 2019

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The importance of mine planning is often underestimated. Nonetheless, it is essential in achieving high performance by identifying the potential value of mineral resources and providing an optimal, practical, and realistic strategy for extraction, which considers the greatest quantity of options, materials, and scenarios. Conventional mine planning is based on a mostly deterministic approach, ignoring part of the uncertainty presented in the input data, such as the mineralogical composition of the feed. This work develops a methodology to optimize the mineral recovery of the heap leaching phase by addressing the mineralogical variation of the feed, by alternating the mode of operation depending on the type of ore in the feed. The operational changes considered in the analysis include the leaching of oxide ores by adding only sulfuric acid (H2SO4) as reagent and adding chloride in the case of sulfide ores (secondary sulfides). The incorporation of uncertainty allows the creation of models that maximize the productivity, while confronting the geological uncertainty, as the extraction program progresses. The model seeks to increase the expected recovery from leaching, considering a set of equiprobable geological scenarios. The modeling and simulation of this productive phase is developed through a discrete event simulation (DES) framework. The results of the simulation indicate the potential to address the dynamics of feed variation through the implementation of alternating modes of operation.

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Section: Mathematical Modeling Of Heap Leachingmentioning

confidence: 99%

Optimization of the Heap Leaching Process through Changes in Modes of Operation and Discrete Event Simulation

et al. 2019

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“…The batch curves for copper leaching and for GAC were derived from the production and cumulative acid consumption curves of Panel 1 of the Tschudi oxide copper heap leach operation in Namibia, using the methodology proposed by van Staden et al (2017). This methodology is required where the operational data is generated with irrigation and copper production being initiated while stacking continues.…”

Section: The Diffusional Versions Of the Bouffard And Dixon Andmentioning

confidence: 99%

First-order exchange and spherical diffusion models of heap leaching in PhreeqC

Staden

Petersen

2018

J. S. Afr. Inst. Min. Metall.

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PhreeqC is an open-source software designed to perform geochemical calculations. It offers a feature for modelling heap leaching according to the most modern 'dual-porosity' visualization, as well as an extensive database of reactions and equilibria. It should represent an attractive option for modelling the chemical heap leaching of oxidized ores since it requires only the entering of the system characteristics and a minimal amount of coding to formulate kinetic expressions and output parameters.Both first-order exchange and spherical diffusion PhreeqC models are compared to published short-term pulse-test data (over a few days) and model fits to it. The former is simpler and more convenient to use, but the latter yields more realistic results over longer periods of leaching. Comparisons are also made between PhreeqC and HeapSim, the latter having been acclaimed as the most comprehensive heap leaching model to date. The two models were found to yield very similar results. The observed differences are ascribed to subtle differences in the methods of allocation of reagents to competing reactions and in the methods of advancing the liquid phase between time steps. PhreeqC is slower to execute than HeapSim, but is more rigorous with regard to solution speciation and permits spatial variation of physical and chemical kinetic parameters. The latter feature makes it well suited to the modelling of the effects of segregation and stratification, which have been identified by a number of authors as phenomena that impact on heap leaching performance but which have not yet been systematically studied. heap leaching, modelling, first-order exchange, spherical diffusion.* Mintek, South Africa.

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“…Daily drainage solution measurements calculate metal extraction over time. Columns of the same height as commercial heaps in the lab are used to represent a small segment [18]. This type of study is essential for scaling up from the laboratory to industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Effect of Incorporation of Sulfation in Columnar Modeling of Oxidized Copper Minerals on Predictions of Leaching Kinetics

Bruce,

Sepúlveda,

Castillo

et al. 2024

Metals

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Mathematical modeling of columnar leaching is a useful tool for predicting and evaluating the kinetics of copper extraction. One commonly used model for this process is the shrinking core model (SCM). In this study, the aim was to develop a model for column leaching of oxidized copper ore based on the SCM, which incorporates the ore sulfation stage before leaching. In sulfation and leaching laboratory-scale tests, we studied the effect of acid dosage (at 22.8, 34.2, and 45.6 kg/t), humidity (at 90%, 100%, and 110% of the saturation humidity of the mineral), ore granulometry (−3/4″ and −3/8″), and rest time (at 24, 48, 72, and 96 h) on sulfation. We found that the highest sulfation reached 49.7% for both granulometries in studies. In the column tests, the effects of acid dosage (at 34.2, 45.6 kg/t), ore granulometry (−3/4″, −3/8″), and rest time (at 24, 48 h) were studied. When the SCM was applied to these tests, we obtained fit qualities within 63.4% and 74.9%. By incorporating the sulfation factor into the SCM predictions, we observed an average increase in adjustment between 24% and 28%. This method is effective for minerals and operating conditions different from the ones studied.

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Comparative assessment of heap leach production data – 1. A procedure for deriving the batch leach curve

Cited by 9 publications

References 4 publications

Optimization of the Heap Leaching Process through Changes in Modes of Operation and Discrete Event Simulation

Optimization of the Heap Leaching Process through Changes in Modes of Operation and Discrete Event Simulation

First-order exchange and spherical diffusion models of heap leaching in PhreeqC

Effect of Incorporation of Sulfation in Columnar Modeling of Oxidized Copper Minerals on Predictions of Leaching Kinetics

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