{"id":3760,"date":"2023-08-07T11:51:27","date_gmt":"2023-08-07T16:51:27","guid":{"rendered":"https:\/\/intermetperu.com\/?p=3760"},"modified":"2023-08-07T12:16:46","modified_gmt":"2023-08-07T17:16:46","slug":"analytica-tools-for-mineral-processing-studies","status":"publish","type":"post","link":"https:\/\/intermetperu.com\/en\/nuevos-cursos-digitales\/analytica-tools-for-mineral-processing-studies\/","title":{"rendered":"ANALYTICA TOOLS FOR MINERAL PROCESSING STUDIES"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"3760\" class=\"elementor elementor-3760\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-e5f90c7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-eae-slider=\"30350\" data-id=\"e5f90c7\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-c95580f\" data-eae-slider=\"4498\" data-id=\"c95580f\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2269594 elementor-widget elementor-widget-heading\" data-id=\"2269594\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">ANALYTICA TOOLS FOR MINERAL PROCESSING STUDIES<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c618c5 elementor-widget elementor-widget-image\" data-id=\"1c618c5\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"4500\" height=\"4500\" src=\"https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/Metodos-Estadisticos-cuadrado-03.png\" class=\"attachment-full size-full wp-image-3445\" alt=\"\" srcset=\"https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/Metodos-Estadisticos-cuadrado-03.png 4500w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/Metodos-Estadisticos-cuadrado-03-300x300.png 300w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/Metodos-Estadisticos-cuadrado-03-1024x1024.png 1024w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/Metodos-Estadisticos-cuadrado-03-150x150.png 150w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/Metodos-Estadisticos-cuadrado-03-768x768.png 768w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/Metodos-Estadisticos-cuadrado-03-1536x1536.png 1536w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/Metodos-Estadisticos-cuadrado-03-2048x2048.png 2048w\" sizes=\"(max-width: 4500px) 100vw, 4500px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-697fe76 elementor-widget elementor-widget-text-editor\" data-id=\"697fe76\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<section><section><h4 style=\"font-family: 'Archivo Narrow', sans-serif;\">EXECUTIVE SUMMARY<\/h4><p style=\"color: #555555;\">The short course will present essential statistical tools which are helpful for metallurgists. The course will develop applied knowledge of statistics through many practical examples for mineral processing engineers. The short course is designed in four modules to explain the basics of statistics in module one and the main statistical tools used in technical studies and plant trials by metallurgists in modules two and three. Module four will focus on key aspects of regression, which is important for establishing relationships between observation and measurements.<\/p><h4 style=\"font-family: 'Archivo Narrow', sans-serif;\">TARGET AUDIENCE<\/h4><p style=\"color: #555555;\">This short course covers all the basics. Therefore, this course could be beneficial for both junior and senior metallurgists and students at various levels. The short course will provide metallurgists and laboratory technicians with a basic understanding of statistics and statistical analysis. This will allow metallurgists and laboratory technicians to use statistical tools and methods in their daily work and ensure their studies and trials follows a sound statistical approach.<\/p><p style=\"color: #555555;\">A practical approach is taken when covering all the topics in the short course, with a number of practical examples and hands-on examples for attendees to ensure effective delivery of course materials. The prerequisites for attendees are engineering degrees and experience in metallurgical processes (comminution, flotation, dewatering, etc.).<\/p><h4 style=\"font-family: 'Archivo Narrow', sans-serif;\">CASE STUDIES<\/h4><p style=\"color: #555555;\">&#8211; Gold assay variation in Muck pile<br \/>&#8211; Haulage Trucks load variation<br \/>&#8211; Cyclone slurry pump failures<br \/>&#8211; Investigating flotation chemical trials, etc.<\/p><p style=\"color: #555555;\">\u00a0<\/p><h4 style=\"font-family: 'Archivo Narrow', sans-serif;\">COURSE CONTENTS<\/h4><p style=\"color: #555555;\">The short course is organised into 4 modules, as shown in the list below. The course is offered online.<\/p><h4 style=\"font-family: 'Archivo Narrow', sans-serif;\">CASE STUDIES<\/h4><p style=\"color: #555555;\">&#8211; Gold assay variation in Muck pile<br \/>&#8211; Haulage Trucks load variation<br \/>&#8211; Cyclone slurry pump failures<br \/>&#8211; Investigating flotation chemical trials, etc.<\/p><h5 style=\"font-family: 'Archivo Narrow', sans-serif;\">MODULE I<\/h5><p style=\"color: #555555;\">Basics<\/p><ul style=\"font-size: 16px; background-color: #ffffff; color: #555555;\"><li style=\"font-size: 16px;\">Basics of statistics<\/li><li style=\"font-size: 16px;\">Normal distribution<\/li><li style=\"font-size: 16px;\">Small sample statistical inference<\/li><\/ul><h5 style=\"font-family: 'Archivo Narrow', sans-serif;\">MODULE II<\/h5><p style=\"color: #555555;\">Statistical analysis tools<\/p><ul style=\"font-size: 16px; background-color: #ffffff; color: #555555;\"><li style=\"font-size: 16px;\">Large sample statistical inference<\/li><li style=\"font-size: 16px;\">Analysis of variance (ANOVA)<\/li><li style=\"font-size: 16px;\">The Chi-Squared distribution<\/li><\/ul><h5 style=\"font-family: 'Archivo Narrow', sans-serif;\">MODULE III<\/h5><p style=\"color: #555555;\">Practical<\/p><ul style=\"font-size: 16px; background-color: #ffffff; color: #555555;\"><li style=\"font-size: 16px;\">Bimodal distribution<\/li><li style=\"font-size: 16px;\">The Poisson distribution<\/li><li style=\"font-size: 16px;\">Correlation<\/li><\/ul><h5 style=\"font-family: 'Archivo Narrow', sans-serif;\">MODULE IV<\/h5><p style=\"color: #555555;\">Regression<\/p><ul style=\"font-size: 16px; background-color: #ffffff; color: #555555; text-align: center;\"><li style=\"font-size: 16px; text-align: left;\">Linear regression<\/li><li style=\"font-size: 16px; text-align: left;\">Non-linear regression<\/li><li style=\"font-size: 16px; text-align: left;\">Model selection for regression<\/li><\/ul><div>\u00a0<\/div><p><img decoding=\"async\" data-src=\"http:\/\/intermetperu.com\/wp-content\/uploads\/2023\/05\/MOHSEN_YAHYAEI.jpg.webp\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/p><p>\u00a0<\/p><h4 style=\"font-family: 'Archivo Narrow', sans-serif;\">DR. MOHSEN YAHYAEI<\/h4><p>Comminution Technical Solutions<br \/>University of Queensland, SMI, JKMRC<\/p><p><a href=\"http:\/\/researchers.uq.edu.au\/researcher\/2653\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/researchers.uq.edu.au\/researcher\/2653<\/a><\/p><p>Mohsen Yahyaei is an expert in modelling, optimisation, and control of comminution circuits using novel approaches and tools at the Julius Kruttschnitt Mineral Research Centre (JKMRC) at the University of Queensland, Australia. Mohsen has extensive experience in conducting applied research, industry surveys and process optimisation. Mohsen works with major mining companies and equipment suppliers. He has successfully led large research projects funded by the industry. Mohsen has extensive experience working with mining companies and their operations for operational diagnosis and identifying performance improvement opportunities in particular.<\/p><p>His interests include: process autonomy; dynamic modeling for process optimization and control; study of rock particle surface fracture; mechanistic approach to mill liner wear modeling.<\/p><\/section><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc4c6f4 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"bc4c6f4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"http:\/\/intermetperu.com\/wp-content\/uploads\/2023\/07\/143.-Analytica-tools-for-mineral-processing-studies-1-1.pdf\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">DOWNLOAD (.PDF)<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-c3912fb\" data-eae-slider=\"83326\" data-id=\"c3912fb\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c9bfe3e elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"c9bfe3e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/pagolink.niubiz.com.pe\/pagoseguro\/INTERMET\/1778498\/info\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">\u00a1 PAY NOW !<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f9048dd elementor-widget elementor-widget-text-editor\" data-id=\"f9048dd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5 style=\"text-align: center;\"><b>INVESTMENT : US$900<\/b><\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fc1e5f9 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"fc1e5f9\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>ANALYTICA TOOLS FOR MINERAL PROCESSING STUDIES EXECUTIVE SUMMARY The short course will present essential statistical tools which are helpful for metallurgists. The course will develop applied knowledge of statistics through many practical examples for mineral processing engineers. The short course is designed in four modules to explain the basics of statistics in module one and [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[7],"tags":[],"class_list":["post-3760","post","type-post","status-publish","format-standard","hentry","category-nuevos-cursos-digitales"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ANALYTICA TOOLS FOR MINERAL PROCESSING STUDIES - Intermetperu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/intermetperu.com\/en\/nuevos-cursos-digitales\/analytica-tools-for-mineral-processing-studies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ANALYTICA TOOLS FOR MINERAL PROCESSING STUDIES - Intermetperu\" \/>\n<meta property=\"og:description\" content=\"ANALYTICA TOOLS FOR MINERAL PROCESSING STUDIES EXECUTIVE SUMMARY The short course will present essential statistical tools which are helpful for metallurgists. 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