On scalable analytical models for heap leaching

Mellado, Mario E.; Casanova, María Paz; Cisternas, Luís A.; Gálvez, Edelmira D.

doi:10.1016/j.compchemeng.2010.09.009

Cited by 33 publications

(44 citation statements)

References 17 publications

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“…The kinetic model proposed by Mellado et al [27,28] was used as an example. The UA indicates that the kinetic model can estimate the recovery behavior considering the full range of uncertainties of input variables.…”

Section: Discussionmentioning

confidence: 99%

“…Mellado et al [36] applied a local sensitivity analysis to completely evaluate an analytical heap leaching model, as previously described in the literature [27,28]. Later, these results were used for the optimization of the irrigation flow rate [37].…”

Section: Introductionmentioning

confidence: 99%

“…The Mellado et al model has been validated in several ways. First, it was used to model the recovery of copper minerals from northern Chile in pilot heaps measuring 3, 6 and 9 m in height, obtaining a determination coefficient of 99.74 [28]. In other words, the Mellado et al model was able to explain 99.74% of the variability in the recovery.…”

Section: Introductionmentioning

confidence: 99%

“…However, the Mellado et al model considered that the recovery at infinite time is equal to one, which is not observed in practice. Therefore, an expression for the recovery at infinite time was added to the previous model [28]. The Mellado et al model has been validated in several ways.…”

Section: Introductionmentioning

confidence: 99%

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A Posteriori Analysis of Analytical Models for Heap Leaching Using Uncertainty and Global Sensitivity Analyses

Mellado¹,

Cisternas

Lucay

et al. 2018

Minerals

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Abstract:The heap leaching of minerals is one of the more commonly used processes in the mining industry. 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 the leaching model parameters. This work uses the uncertainty quantification, based on uncertainty and sensitivity analysis, for studying the model strength against uncertainties in heap leaching. The uncertainty analysis (UA) is used to quantify the effect of the magnitude of the uncertainties of the input variables on the recovery of heap leaching. Global sensitivity analysis (GSA) is used to study the nature of connections between the recovery and input variables of the leaching model. In addition, GSA facilitates the detection of whether a leaching model is over-parameterized. The information obtained allows studying some applications of the kinetic model. The Mellado et al. kinetic model is used as an example. The UA results indicate that the kinetic model can estimate the recovery behavior considering the full range of uncertainties of input variables. The GSA indicates that the kinetic model is over-parameterized on the uncertainties range considered; this conclusion contradicts the results when the local sensitivity analysis is used. However, the model shows a good correlation between the results of GSA and the kinetic behavior of heap leaching. In addition, the kinetic model presents versatility because it allows the determination of operating regions for heap leaching.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Posteriori Analysis of Analytical Models for Heap Leaching Using Uncertainty and Global Sensitivity Analyses

Mellado¹,

Cisternas

Lucay

et al. 2018

Minerals

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show abstract

“…However, the use of mathematical models has allowed the systematic study of the heap leaching, which is used for simulating, designing and optimizing the process [15][16][17][18][19]. The modeling of heap leaching has focused mainly on the processing of metallic ores, but recently efforts have been conducted to represent the leaching of non-metallic ores.…”

Section: Introductionmentioning

confidence: 99%

Heap Leaching of Caliche Ore. Modeling of a Multicomponent System with Particle Size Distribution

Ordóñez¹,

Condori

Moreno

et al. 2017

Minerals

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Abstract:Caliche is a mineral exploited in northern Chile, from which iodine and Nitrate salts (saltpeter) are obtained. This ore is the most important source of iodine in the world and is processed mainly by heap leaching using water as a leaching agent. Heap leaching of caliche ore is carried out by the stacking of ROM (Run-Of-Mine) material, where the particle size distribution covers a wide range, from a few millimeters up to several decimeters, even diameters about 1 m. During the leaching, the multiple soluble species of caliche, which can reach total fractions larger than 40%, are dissolved at different rates, mainly controlled by their solubilities. When it occurs and unlike most other leachable ores, the particle size diminishes. The leaching modeling of several soluble species of caliche has been recently addressed; however, one of the main assumptions is the idealization that the heap is composed of particles of the same size. The present work aims to complement the previously formulated phenomenological models for caliche ore leaching, through a model that considers the simultaneous dissolution of two species from caliche with three different particle sizes. These two water-soluble species have different solubilities and dissolution rates and the conceptual model considers that both species are dissolved at the particle surface. When the most soluble species is being depleted, the particle collapses, leaving a remaining fraction of the less soluble species together with insoluble material. The less soluble species is now being dissolved from the collapsed material. This article also includes the experimental verification of the conceptual model using data obtained from column leaching tests conducted for this purpose, focusing on the dissolution of two soluble species: Nitrate and Magnesium.

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Experimental Study of Heap Leaching of Secondary Sulphides Using H2SO4 and NaCl: A Chilean Mining Company Case

Saldaña

Ayala

Gálvez

et al. 2021

Advances in Sustainability Science and Technology

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On scalable analytical models for heap leaching

Cited by 33 publications

References 17 publications

A Posteriori Analysis of Analytical Models for Heap Leaching Using Uncertainty and Global Sensitivity Analyses

A Posteriori Analysis of Analytical Models for Heap Leaching Using Uncertainty and Global Sensitivity Analyses

Heap Leaching of Caliche Ore. Modeling of a Multicomponent System with Particle Size Distribution

Experimental Study of Heap Leaching of Secondary Sulphides Using H2SO4 and NaCl: A Chilean Mining Company Case

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