An analytical model approach to heap leaching

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

doi:10.1016/j.hydromet.2008.04.009

Cited by 41 publications

(33 citation statements)

References 11 publications

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“…Mellado et al [27] considered that the behavior of the heap could be modeled using a system of first-order equations such as:…”

Section: Mellado Modelmentioning

confidence: 99%

“…Then, Mellado et al introduced a delay, i.e., a time ω where the R t begins to change (R t (ω) = 0). The general solution to this problem is known (see Mellado et al [27] for the general solution), for n τ = 1 the solution is:…”

Section: Mellado Modelmentioning

confidence: 99%

“…Mellado et al [27] developed a model that combined aspects of phenomenology with empirical expression. Their results are comparable to the ones obtained from more complex models.…”

Section: Introductionmentioning

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%

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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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“…Mellado et al [27] considered that the behavior of the heap could be modeled using a system of first-order equations such as:…”

Section: Mellado Modelmentioning

confidence: 99%

Section: Mellado Modelmentioning

confidence: 99%

“…Mellado et al [27] developed a model that combined aspects of phenomenology with empirical expression. Their results are comparable to the ones obtained from more complex models.…”

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

“…In the simplified notation, the compositional flow model reduces to finding the solutions (u 1 ,u 2 ,u 3 ) of the system (11)- (13), with the boundary conditions (14) and (15), and the initial condition (16).…”

Section: Mathematical Framework and Variational Formulationmentioning

confidence: 99%

Convergence analysis of a vertex-centered finite volume scheme for a copper heap leaching model

Cariaga¹,

Concha

Pop

et al. 2009

Math. Meth. Appl. Sci.

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In this paper a two-dimensional solute transport model is considered to simulate the leaching of copper ore tailing using sulfuric acid as the leaching agent. The mathematical model consists in a system of differential equations: two diffusion-convection-reaction equations with Neumann boundary conditions, and one ordinary differential equation. The numerical scheme consists in a combination of finite volume and finite element methods. A Godunov scheme is used for the convection term and an P1-FEM for the diffusion term. The convergence analysis is based on standard compactness results in L 2 . Some numerical examples illustrate the effectiveness of the scheme.

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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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An analytical model approach to heap leaching

Cited by 41 publications

References 11 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

Convergence analysis of a vertex-centered finite volume scheme for a copper heap leaching model

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

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