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Optimization of a CFD – Heap leach model and sensitivity analysis of process operation

D. McBride, T.N. Croft, M. Cross, C. Bennett, J.E. Gebhardt, Nick Croft Orcid Logo, Diane McBride Orcid Logo

Minerals Engineering, Volume: 63, Pages: 57 - 64

Swansea University Authors: Nick Croft Orcid Logo, Diane McBride Orcid Logo

DOI (Published version): 10.1016/j.mineng.2013.11.010

Abstract

A comprehensive heap leach model, developed within a computational fluid dynamics software framework, provides a modeling tool to capture reactive dissolution in low grade ores of oxide and sulfide minerals. These systems involve suites of very complex reactions, which are closely coupled with therm...

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Published in: Minerals Engineering
Published: 2013
URI: https://cronfa.swan.ac.uk/Record/cronfa18573
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spelling 2016-01-06T17:24:31.8462968 v2 18573 2014-10-01 Optimization of a CFD – Heap leach model and sensitivity analysis of process operation 8f82cd0b51f4b95b0dd6fa89427d9fc7 0000-0002-1521-5261 Nick Croft Nick Croft true false f045e194e1b759f3aac9e15caf8f293e 0000-0002-9736-4534 Diane McBride Diane McBride true false 2014-10-01 AERO A comprehensive heap leach model, developed within a computational fluid dynamics software framework, provides a modeling tool to capture reactive dissolution in low grade ores of oxide and sulfide minerals. These systems involve suites of very complex reactions, which are closely coupled with thermal conditions and key microbial populations. One of the key challenges when modeling heap leach scenarios is characterization of the ores and parameterization of the model in order to utilize the model as an investigative tool. The calibration of the model can be a lengthy process requiring many simulation runs. An optimization tool has been incorporated into the model to allow automated searching for multiple ‘best fit’ parameter values and to determine sensitivity. Once the model has been parameterized, large-scale forecasts can be simulated or a sensitivity analysis can be performed to investigate a range of process variables, such as irrigation rate, lift, air injection, acidity, head grade and dripper emitter spacing, amongst others. One such example is explored here for the Zaldivar ore body. Journal Article Minerals Engineering 63 57 64 Heap leach modeling; Computational fluid dynamics (CFD); Optimization 2 12 2013 2013-12-02 10.1016/j.mineng.2013.11.010 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2016-01-06T17:24:31.8462968 2014-10-01T16:32:31.3246434 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering D. McBride 1 T.N. Croft 2 M. Cross 3 C. Bennett 4 J.E. Gebhardt 5 Nick Croft 0000-0002-1521-5261 6 Diane McBride 0000-0002-9736-4534 7 0018573-06012016172323.pdf McBride_et_al-2014-Minerals_Engineering.pdf 2016-01-06T17:23:23.3470000 Output 1489139 application/pdf Enhanced Version of Record true 2015-12-02T00:00:00.0000000 false
title Optimization of a CFD – Heap leach model and sensitivity analysis of process operation
spellingShingle Optimization of a CFD – Heap leach model and sensitivity analysis of process operation
Nick Croft
Diane McBride
title_short Optimization of a CFD – Heap leach model and sensitivity analysis of process operation
title_full Optimization of a CFD – Heap leach model and sensitivity analysis of process operation
title_fullStr Optimization of a CFD – Heap leach model and sensitivity analysis of process operation
title_full_unstemmed Optimization of a CFD – Heap leach model and sensitivity analysis of process operation
title_sort Optimization of a CFD – Heap leach model and sensitivity analysis of process operation
author_id_str_mv 8f82cd0b51f4b95b0dd6fa89427d9fc7
f045e194e1b759f3aac9e15caf8f293e
author_id_fullname_str_mv 8f82cd0b51f4b95b0dd6fa89427d9fc7_***_Nick Croft
f045e194e1b759f3aac9e15caf8f293e_***_Diane McBride
author Nick Croft
Diane McBride
author2 D. McBride
T.N. Croft
M. Cross
C. Bennett
J.E. Gebhardt
Nick Croft
Diane McBride
format Journal article
container_title Minerals Engineering
container_volume 63
container_start_page 57
publishDate 2013
institution Swansea University
doi_str_mv 10.1016/j.mineng.2013.11.010
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 1
active_str 0
description A comprehensive heap leach model, developed within a computational fluid dynamics software framework, provides a modeling tool to capture reactive dissolution in low grade ores of oxide and sulfide minerals. These systems involve suites of very complex reactions, which are closely coupled with thermal conditions and key microbial populations. One of the key challenges when modeling heap leach scenarios is characterization of the ores and parameterization of the model in order to utilize the model as an investigative tool. The calibration of the model can be a lengthy process requiring many simulation runs. An optimization tool has been incorporated into the model to allow automated searching for multiple ‘best fit’ parameter values and to determine sensitivity. Once the model has been parameterized, large-scale forecasts can be simulated or a sensitivity analysis can be performed to investigate a range of process variables, such as irrigation rate, lift, air injection, acidity, head grade and dripper emitter spacing, amongst others. One such example is explored here for the Zaldivar ore body.
published_date 2013-12-02T03:21:47Z
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score 11.013731

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