{"id":2919,"date":"2023-07-04T09:44:19","date_gmt":"2023-07-04T14:44:19","guid":{"rendered":"https:\/\/dev.intermetperu.com\/?p=2919"},"modified":"2023-10-27T10:03:24","modified_gmt":"2023-10-27T15:03:24","slug":"the-economic-necessity-of-good-sampling-practices","status":"publish","type":"post","link":"https:\/\/intermetperu.com\/en\/cursos\/the-economic-necessity-of-good-sampling-practices\/","title":{"rendered":"THE ECONOMIC NECESSITY OF GOOD SAMPLING PRACTICES"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"2919\" class=\"elementor elementor-2919\" 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-467ee3a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-eae-slider=\"53584\" data-id=\"467ee3a\" 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-100 elementor-top-column elementor-element elementor-element-f44c984\" data-eae-slider=\"28706\" data-id=\"f44c984\" data-element_type=\"column\">\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-f7c5709 elementor-widget elementor-widget-text-editor\" data-id=\"f7c5709\" 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<span style=\"font-family: Oswald, Arial, sans-serif; font-size: 20px; color: #ffffff; margin: 10px 0px 0px; letter-spacing: 0.03em;\">THE ECONOMIC NECESSITY OF GOOD SAMPLING PRACTICES\n<\/span>\n<h4><span style=\"font-size: 16px; color: #ffffff;\">Iicio \/ Cursos OnLine \/<\/span><span style=\"color: #555555; font-size: 16px;\">\u00a0<\/span><span style=\"font-size: 16px;\"><span style=\"color: #e7ff61;\">The economic necessity of good sampling practices<\/span><\/span><\/h4>\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\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-f871fc9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-eae-slider=\"87813\" data-id=\"f871fc9\" 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-a2f6090\" data-eae-slider=\"5899\" data-id=\"a2f6090\" 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-5ad0ce8 elementor-widget elementor-widget-eae-content-switcher\" data-id=\"5ad0ce8\" data-element_type=\"widget\" data-widget_type=\"eae-content-switcher.skin1\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"eae-content-switcher-wrapper eae-cs-layout-skin1\" data-style=\"skin1\" data-atab=\"4435506\">\n\t\t\t\t<!--Header Secion Start-->\n\t\t\t\t\t\t<div class=\"eae-cs-switch-container\">\n\t\t\t<div class=\"eae-cs-switch-wrapper\">\n\t\t\t\t\t\t\t\t\t<div class=\"eae-cs-label-wrapper\">\n\t\t\t\t\t\t<a href=\"#\" class=\"eae-content-switch-button active\">\n\t\t\t\t\t\t\t<div id=\"4435506\" class=\"eae-cs-icon-align-left eae-content-switch-label\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>OBJECTIVE<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<div class=\"eae-cs-label-wrapper\">\n\t\t\t\t\t\t<a href=\"#\" class=\"eae-content-switch-button\">\n\t\t\t\t\t\t\t<div id=\"2fa7cc6\" class=\"eae-cs-icon-align-left eae-content-switch-label\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>COURSE TOPICS<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<div class=\"eae-cs-label-wrapper\">\n\t\t\t\t\t\t<a href=\"#\" class=\"eae-content-switch-button\">\n\t\t\t\t\t\t\t<div id=\"286e8b0\" class=\"eae-cs-icon-align-left eae-content-switch-label\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>INSTRUCTOR<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<div class=\"eae-cs-label-wrapper\">\n\t\t\t\t\t\t<a href=\"#\" class=\"eae-content-switch-button\">\n\t\t\t\t\t\t\t<div id=\"824be3d\" class=\"eae-cs-icon-align-left eae-content-switch-label\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>POSTER<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<!--Header Secion End-->\n\t\t\t\t\t\t<div class=\"eae-cs-content-container\">\n\t\t\t\t\t<div class=\"eae-cs-content-wrapper\">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"eae-content-section-4435506 eae-cs-content-section active\" id=\"4435506\">\n\t\t\t\t\t\t\t\t<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-4454 size-large\" src=\"http:\/\/intermetperu.com\/wp-content\/uploads\/2023\/10\/Curso-previo2-muestreo-cyber-wow-ENG-02-1-1024x1024.jpg\" alt=\"\" width=\"800\" height=\"800\" \/><\/p><div style=\"text-align: left;\"><section id=\"detallesproduc\"><section id=\"tabbed\"><div class=\"wrapper\"><div class=\"tab-1\"><h4>COURSE OBJECTIVES<\/h4><p>Poor sampling, compounded by poor laboratory subsampling, leads to questionable geostatistics, and generates severe conciliation problems between the geological model, the mine, and the plant estimates. These problems also affect the price of commodities and the validity of environmental assessments. The result is a huge money loss for the company involved, evolving later in likely litigation. It is of key importance for geologists, miners, metallurgists, chemists, and environmental specialists to extract maximum information from the available data, as large investments and crucial decisions depend on it. False evaluations lead to devastating scenarios such as:<\/p><ul><li>Abandonment of viable properties.<\/li><li>Exploitation of unprofitable properties.<\/li><li>Mismanagement of viable properties.<\/li><li>Incompetence in fraud detection.<\/li><\/ul><p>It is critical to quantify the heterogeneity of important constituents in any new property. Failure to do appropriate testing leads to invalid sampling and subsampling protocols, excess drilling, and a biased database that would later lead to false geostatistics. The following sequence is part of an inescapable practice:<\/p><ul><li>How is the constituent of interest distributed in the material to be sampled?<\/li><li>Conduct Heterogeneity Tests to quantify the sampling characteristics of the constituent of interest.<\/li><li>Optimize sampling protocols and the way they are implemented, according to the results from the Heterogeneity Test.<\/li><li>Implement protocols using valid sampling equipment: 75% of the sampling equipment available on the market will never do the job.<\/li><li>Implement a comprehensive, systematic quality control program to monitor sampling precision and accuracy.<\/li><\/ul><\/div><div class=\"tab-2\">\u00a0<\/div><\/div><\/section><\/section><\/div><p style=\"text-align: left;\">\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"eae-content-section-2fa7cc6 eae-cs-content-section\" id=\"2fa7cc6\">\n\t\t\t\t\t\t\t\t<h4 style=\"text-align: left;\">WHAT YOU WILL LEARN<\/h4><ul style=\"text-align: left;\"><li>The nine kinds of sampling errors, how they take place, and how to minimize them; most people can list only two!<\/li><li>Sampling correctness, so you can reject sampling systems that will never perform a satisfactory job.<\/li><li>Become familiar with necessary tests to be performed at mines and plants to optimize all your sampling protocols.<\/li><li>To select appropriate Data Quality Objectives for operating parameters, which are worth continuous monitoring, to minimize your operating cost.<\/li><li>To better appreciate the value of existing chronological data that allows you to better control any process.<\/li><li>This data is valuable for management in identifying structural problems that lead to unnecessary financial losses.<\/li><li>Variography is the key to identify the various sources of variability affecting routine chronological data.<\/li><li>You will discover the power of Chronostatistics.<\/li><li>Using existing data, variability from sampling and measurement must be clearly separated from process trends and cycles.<\/li><li>Unless this is well done, continuous process improvement will remain elusive.<\/li><li>The careful use of the Moving Average and especially its auxiliary functions can greatly help you to minimize the effect of poor sampling and measurement precision.<\/li><li>Relative Difference Plots can clearly show the presence of conditional biases from sampling and from laboratories.<\/li><li>Realize the weakness of today\u2019s standards on sampling: They are obsolete and not in line with the Sampling Theory.<\/li><li>Get updated on sampling developments exposed during eight World Conferences on Sampling and Blending.<\/li><\/ul><div id=\"boton-temarioinstructor\" style=\"text-align: left;\">\u00a0<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"eae-content-section-286e8b0 eae-cs-content-section\" id=\"286e8b0\">\n\t\t\t\t\t\t\t\t<h4><img decoding=\"async\" class=\"alignnone wp-image-4008 size-large lazyload\" data-src=\"http:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Curso-Previo-2-Muestreo.pdf-1080-\u00d7-1080-px-1-e1692887165922-1024x878.png\" alt=\"\" width=\"800\" height=\"686\" data-srcset=\"https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Curso-Previo-2-Muestreo.pdf-1080-\u00d7-1080-px-1-e1692887165922-1024x878.png 1024w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Curso-Previo-2-Muestreo.pdf-1080-\u00d7-1080-px-1-e1692887165922-300x257.png 300w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Curso-Previo-2-Muestreo.pdf-1080-\u00d7-1080-px-1-e1692887165922-768x658.png 768w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Curso-Previo-2-Muestreo.pdf-1080-\u00d7-1080-px-1-e1692887165922.png 1080w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/686;\" \/><\/h4><h2 style=\"text-align: center;\"><span style=\"color: #000080;\">DR. FRANCIS PITARD<\/span><\/h2><p style=\"text-align: left;\"><em>Dr. Francis F. Pitard is a consulting expert in Sampling, Statistical Process Control and Total Quality Management. He is President of Francis Pitard Sampling Consultants (www.fpscsampling.com) and Technical Director of Mineral Stats Inc. (www.mineralstats.com) in Broomfield, Colorado USA. He provides consulting services in many countries. Dr. Pitard has six years of experience with the French Atomic Energy Commission and fifteen years with Amax Extractive R&amp;D. He taught Sampling Theory, SPC, and TQM for the Continuing Education offices of the Colorado School of Mines, the Australian Mineral Foundation, for the Mining Department of the University of Chile, and the University of Witwatersrand in South Africa. He has a Doctorate of Technology from Aalborg University in Denmark. He is the recipient of the prestigious Pierre Gy\u2019s Gold Medal for excellence in promoting and teaching the Theory of Sampling (Cape Town, South Africa, 2009). Consultant of InterMet for Peru. Chairman of II Mineral Sampling Congress to be held in Lima on<\/em> September 2021.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"eae-content-section-824be3d eae-cs-content-section\" id=\"824be3d\">\n\t\t\t\t\t\t\t\t<p><img decoding=\"async\" class=\"alignnone wp-image-4004 size-large lazyload\" data-src=\"http:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Necesidad-economica-.-Afiche_ENG-1-724x1024.png\" alt=\"\" width=\"724\" height=\"1024\" data-srcset=\"https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Necesidad-economica-.-Afiche_ENG-1-724x1024.png 724w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Necesidad-economica-.-Afiche_ENG-1-212x300.png 212w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Necesidad-economica-.-Afiche_ENG-1-768x1086.png 768w, https:\/\/intermetperu.com\/wp-content\/uploads\/2023\/08\/Necesidad-economica-.-Afiche_ENG-1-1086x1536.png 1086w, 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These problems also affect [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[5],"tags":[],"class_list":["post-2919","post","type-post","status-publish","format-standard","hentry","category-cursos"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>THE ECONOMIC NECESSITY OF GOOD SAMPLING PRACTICES - 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\/cursos\/the-economic-necessity-of-good-sampling-practices\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"THE ECONOMIC NECESSITY OF GOOD SAMPLING PRACTICES - Intermetperu\" \/>\n<meta property=\"og:description\" content=\"THE ECONOMIC NECESSITY OF GOOD SAMPLING PRACTICES Iicio \/ Cursos OnLine \/\u00a0The economic necessity of good sampling practices OBJECTIVE COURSE TOPICS INSTRUCTOR POSTER COURSE OBJECTIVES Poor sampling, compounded by poor laboratory subsampling, leads to questionable geostatistics, and generates severe conciliation problems between the geological model, the mine, and the plant estimates. 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