Multi-element geochemistry for bulk mineral characterization of hydrothermal alteration associations in porphyry copper deposits and applications to predictive geo-metallurgical modeling

Brian Townley, Rodrigo Luca, Fernando López, Marcia Muñoz, Pamela Castillo

Resultado de la investigación: Conference contribution

Resumen

In the present study we discuss the value of multi-element geochemistry as a tool for semi-quantitative to quantitative bulk mineral characterization in geological and geo-metallurgical modeling of porphyry copper type deposits, with an emphasis on hydrothermal alteration associations, types and intensities. In mine production of porphyry copper deposits much effort is placed on ore grade and geological modeling, applied for predictive mineral processing behavior, from blasting, grinding, leaching or flotation, down to waste disposal and environmental management. High confidence geological models are commonly based on geological mapping of drill core and surface/ underground exposures, combined with discrete mineral characterization (e.g., petrography, QEMSCAN®, spectroscopy, etc.). Unfortunately these are expensive and applied to limited numbers of samples, thus lacking sufficient representation and not suitable for geo-statistical modeling. In addition, geological mapping always presents uncertainty, based mostly on qualitative estimates. The combination of information usually provides geological models that are hard to combine with geo-metallurgical data, much less with mineral processing predictive behavior models. The advent of multi-element geochemistry, at low cost, has allowed employment of such tools massively, yet little use is given to the data, usually focused on elements of economic interest (main ore and credits) and elements of negative impact to concentrates and/or process. Geochemistry reflects the mineral composition of rocks, thus allowing characterization of lithology, alteration types and intensities, and mineralization. As examples of such applications we present generic classification techniques which were developed on various porphyry copper deposits of northern Chile, these based on multi-element geochemistry, allowing for semi-quantitative to quantitative high resolution modeling of key aspects of lithology, hydrothermal alteration and mineralization, and which may be cross-referenced to metallurgical test samples and by that, to geo-metallurgical properties of rocks and modeling. In addition, as data is quantitative and continuous, modelling of gangue can benefit from geo-statistical modeling.

Idioma originalEnglish
Título de la publicación alojadaIMPC 2018 - 29th International Mineral Processing Congress
EditorialCanadian Institute of Mining, Metallurgy and Petroleum
Páginas2887-2894
Número de páginas8
ISBN (versión digital)9787030227119
EstadoPublished - 1 ene 2019
Evento29th International Mineral Processing Congress, IMPC 2018 - Moscow, Russian Federation
Duración: 17 sep 201821 sep 2018

Conference

Conference29th International Mineral Processing Congress, IMPC 2018
PaísRussian Federation
CiudadMoscow
Período17/09/1821/09/18

Huella dactilar

Copper deposits
Geochemistry
hydrothermal alteration
porphyry
Minerals
geochemistry
copper
Ore treatment
Lithology
mineral
Ores
modeling
Rocks
Petrography
mineral processing
geological mapping
Environmental management
Blasting
Flotation
Waste disposal

ASJC Scopus subject areas

  • Mechanical Engineering
  • Earth-Surface Processes
  • Geochemistry and Petrology
  • Geotechnical Engineering and Engineering Geology

Citar esto

Townley, B., Luca, R., López, F., Muñoz, M., & Castillo, P. (2019). Multi-element geochemistry for bulk mineral characterization of hydrothermal alteration associations in porphyry copper deposits and applications to predictive geo-metallurgical modeling. En IMPC 2018 - 29th International Mineral Processing Congress (pp. 2887-2894). Canadian Institute of Mining, Metallurgy and Petroleum.
Townley, Brian ; Luca, Rodrigo ; López, Fernando ; Muñoz, Marcia ; Castillo, Pamela. / Multi-element geochemistry for bulk mineral characterization of hydrothermal alteration associations in porphyry copper deposits and applications to predictive geo-metallurgical modeling. IMPC 2018 - 29th International Mineral Processing Congress. Canadian Institute of Mining, Metallurgy and Petroleum, 2019. pp. 2887-2894
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abstract = "In the present study we discuss the value of multi-element geochemistry as a tool for semi-quantitative to quantitative bulk mineral characterization in geological and geo-metallurgical modeling of porphyry copper type deposits, with an emphasis on hydrothermal alteration associations, types and intensities. In mine production of porphyry copper deposits much effort is placed on ore grade and geological modeling, applied for predictive mineral processing behavior, from blasting, grinding, leaching or flotation, down to waste disposal and environmental management. High confidence geological models are commonly based on geological mapping of drill core and surface/ underground exposures, combined with discrete mineral characterization (e.g., petrography, QEMSCAN{\circledR}, spectroscopy, etc.). Unfortunately these are expensive and applied to limited numbers of samples, thus lacking sufficient representation and not suitable for geo-statistical modeling. In addition, geological mapping always presents uncertainty, based mostly on qualitative estimates. The combination of information usually provides geological models that are hard to combine with geo-metallurgical data, much less with mineral processing predictive behavior models. The advent of multi-element geochemistry, at low cost, has allowed employment of such tools massively, yet little use is given to the data, usually focused on elements of economic interest (main ore and credits) and elements of negative impact to concentrates and/or process. Geochemistry reflects the mineral composition of rocks, thus allowing characterization of lithology, alteration types and intensities, and mineralization. As examples of such applications we present generic classification techniques which were developed on various porphyry copper deposits of northern Chile, these based on multi-element geochemistry, allowing for semi-quantitative to quantitative high resolution modeling of key aspects of lithology, hydrothermal alteration and mineralization, and which may be cross-referenced to metallurgical test samples and by that, to geo-metallurgical properties of rocks and modeling. In addition, as data is quantitative and continuous, modelling of gangue can benefit from geo-statistical modeling.",
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Townley, B, Luca, R, López, F, Muñoz, M & Castillo, P 2019, Multi-element geochemistry for bulk mineral characterization of hydrothermal alteration associations in porphyry copper deposits and applications to predictive geo-metallurgical modeling. En IMPC 2018 - 29th International Mineral Processing Congress. Canadian Institute of Mining, Metallurgy and Petroleum, pp. 2887-2894, 29th International Mineral Processing Congress, IMPC 2018, Moscow, Russian Federation, 17/09/18.

Multi-element geochemistry for bulk mineral characterization of hydrothermal alteration associations in porphyry copper deposits and applications to predictive geo-metallurgical modeling. / Townley, Brian; Luca, Rodrigo; López, Fernando; Muñoz, Marcia; Castillo, Pamela.

IMPC 2018 - 29th International Mineral Processing Congress. Canadian Institute of Mining, Metallurgy and Petroleum, 2019. p. 2887-2894.

Resultado de la investigación: Conference contribution

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AU - Townley, Brian

AU - Luca, Rodrigo

AU - López, Fernando

AU - Muñoz, Marcia

AU - Castillo, Pamela

PY - 2019/1/1

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N2 - In the present study we discuss the value of multi-element geochemistry as a tool for semi-quantitative to quantitative bulk mineral characterization in geological and geo-metallurgical modeling of porphyry copper type deposits, with an emphasis on hydrothermal alteration associations, types and intensities. In mine production of porphyry copper deposits much effort is placed on ore grade and geological modeling, applied for predictive mineral processing behavior, from blasting, grinding, leaching or flotation, down to waste disposal and environmental management. High confidence geological models are commonly based on geological mapping of drill core and surface/ underground exposures, combined with discrete mineral characterization (e.g., petrography, QEMSCAN®, spectroscopy, etc.). Unfortunately these are expensive and applied to limited numbers of samples, thus lacking sufficient representation and not suitable for geo-statistical modeling. In addition, geological mapping always presents uncertainty, based mostly on qualitative estimates. The combination of information usually provides geological models that are hard to combine with geo-metallurgical data, much less with mineral processing predictive behavior models. The advent of multi-element geochemistry, at low cost, has allowed employment of such tools massively, yet little use is given to the data, usually focused on elements of economic interest (main ore and credits) and elements of negative impact to concentrates and/or process. Geochemistry reflects the mineral composition of rocks, thus allowing characterization of lithology, alteration types and intensities, and mineralization. As examples of such applications we present generic classification techniques which were developed on various porphyry copper deposits of northern Chile, these based on multi-element geochemistry, allowing for semi-quantitative to quantitative high resolution modeling of key aspects of lithology, hydrothermal alteration and mineralization, and which may be cross-referenced to metallurgical test samples and by that, to geo-metallurgical properties of rocks and modeling. In addition, as data is quantitative and continuous, modelling of gangue can benefit from geo-statistical modeling.

AB - In the present study we discuss the value of multi-element geochemistry as a tool for semi-quantitative to quantitative bulk mineral characterization in geological and geo-metallurgical modeling of porphyry copper type deposits, with an emphasis on hydrothermal alteration associations, types and intensities. In mine production of porphyry copper deposits much effort is placed on ore grade and geological modeling, applied for predictive mineral processing behavior, from blasting, grinding, leaching or flotation, down to waste disposal and environmental management. High confidence geological models are commonly based on geological mapping of drill core and surface/ underground exposures, combined with discrete mineral characterization (e.g., petrography, QEMSCAN®, spectroscopy, etc.). Unfortunately these are expensive and applied to limited numbers of samples, thus lacking sufficient representation and not suitable for geo-statistical modeling. In addition, geological mapping always presents uncertainty, based mostly on qualitative estimates. The combination of information usually provides geological models that are hard to combine with geo-metallurgical data, much less with mineral processing predictive behavior models. The advent of multi-element geochemistry, at low cost, has allowed employment of such tools massively, yet little use is given to the data, usually focused on elements of economic interest (main ore and credits) and elements of negative impact to concentrates and/or process. Geochemistry reflects the mineral composition of rocks, thus allowing characterization of lithology, alteration types and intensities, and mineralization. As examples of such applications we present generic classification techniques which were developed on various porphyry copper deposits of northern Chile, these based on multi-element geochemistry, allowing for semi-quantitative to quantitative high resolution modeling of key aspects of lithology, hydrothermal alteration and mineralization, and which may be cross-referenced to metallurgical test samples and by that, to geo-metallurgical properties of rocks and modeling. In addition, as data is quantitative and continuous, modelling of gangue can benefit from geo-statistical modeling.

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KW - Geochemistry

KW - Mineral characterization

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Townley B, Luca R, López F, Muñoz M, Castillo P. Multi-element geochemistry for bulk mineral characterization of hydrothermal alteration associations in porphyry copper deposits and applications to predictive geo-metallurgical modeling. En IMPC 2018 - 29th International Mineral Processing Congress. Canadian Institute of Mining, Metallurgy and Petroleum. 2019. p. 2887-2894