{"id":4734,"date":"2021-11-22T03:10:54","date_gmt":"2021-11-22T03:10:54","guid":{"rendered":"https:\/\/ptgtn.com\/?p=4734"},"modified":"2025-03-26T08:08:25","modified_gmt":"2025-03-26T08:08:25","slug":"data-science-machine-learning-for-ggre-application-intermediate","status":"publish","type":"post","link":"https:\/\/ptgtn.com\/id\/2021\/11\/22\/data-science-machine-learning-for-ggre-application-intermediate\/","title":{"rendered":"Data Science &#038; Machine Learning for GGRE Application"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"4734\" class=\"elementor elementor-4734\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-31fa14f9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"31fa14f9\" data-element_type=\"section\" data-e-type=\"section\" 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data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"518\" height=\"561\" src=\"https:\/\/ptgtn.com\/wp-content\/uploads\/2021\/09\/Slider_img.png\" class=\"attachment-large size-large wp-image-1658\" alt=\"\" srcset=\"https:\/\/ptgtn.com\/wp-content\/uploads\/2021\/09\/Slider_img.png 518w, https:\/\/ptgtn.com\/wp-content\/uploads\/2021\/09\/Slider_img-277x300.png 277w, https:\/\/ptgtn.com\/wp-content\/uploads\/2021\/09\/Slider_img-32x35.png 32w, https:\/\/ptgtn.com\/wp-content\/uploads\/2021\/09\/Slider_img-74x80.png 74w, https:\/\/ptgtn.com\/wp-content\/uploads\/2021\/09\/Slider_img-280x303.png 280w\" sizes=\"(max-width: 518px) 100vw, 518px\" \/>\t\t\t\t\t\t\t\t\t\t\t\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=\"elementor-section elementor-top-section elementor-element elementor-element-d43f025 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d43f025\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0e89d0e\" data-id=\"0e89d0e\" data-element_type=\"column\" data-e-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-a6cc5cd elementor-widget elementor-widget-heading\" data-id=\"a6cc5cd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Jadwal<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c04af3e elementor-widget elementor-widget-eael-adv-accordion\" data-id=\"c04af3e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-adv-accordion.default\">\n\t\t\t\t\t            <div class=\"eael-adv-accordion\" id=\"eael-adv-accordion-c04af3e\" data-scroll-on-click=\"no\" data-scroll-speed=\"300\" data-accordion-id=\"c04af3e\" data-accordion-type=\"accordion\" data-toogle-speed=\"300\">\n            <div class=\"eael-accordion-list\">\n\t\t\t\t\t<div id=\"agenda\" class=\"elementor-tab-title eael-accordion-header\" tabindex=\"0\" data-tab=\"1\" aria-controls=\"elementor-tab-content-2011\"><span class=\"eael-advanced-accordion-icon-closed\"><svg aria-hidden=\"true\" class=\"fa-accordion-icon e-font-icon-svg e-fas-arrow-down\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M413.1 222.5l22.2 22.2c9.4 9.4 9.4 24.6 0 33.9L241 473c-9.4 9.4-24.6 9.4-33.9 0L12.7 278.6c-9.4-9.4-9.4-24.6 0-33.9l22.2-22.2c9.5-9.5 25-9.3 34.3.4L184 343.4V56c0-13.3 10.7-24 24-24h32c13.3 0 24 10.7 24 24v287.4l114.8-120.5c9.3-9.8 24.8-10 34.3-.4z\"><\/path><\/svg><\/span><span class=\"eael-advanced-accordion-icon-opened\"><svg aria-hidden=\"true\" class=\"fa-accordion-icon e-font-icon-svg e-fas-minus\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span><span class=\"eael-accordion-tab-title\">Agenda<\/span><\/div><div id=\"elementor-tab-content-2011\" class=\"eael-accordion-content clearfix\" data-tab=\"1\" aria-labelledby=\"agenda\"><p><strong>Hari 1<\/strong><\/p><ul><li><strong>Intermediate Python for Geoscientists:\u00a0<\/strong>Advanced 2D and 3D Plotting using Matplotlib and PyQtgraph, Matrix Operation including inversion using SVD and DampLSQR, Pandas manipulation, numpy and binary h5py, Geosciences Binary Format: Integer 32bits, IBM and IEEE\u00a0<\/li><li><strong>Intermediate Geo-statistics using Python I :\u00a0<\/strong>Inverse Distance Concept, Inverse Distanbce implementation fo Geoscience Problem<\/li><\/ul><p><strong>Hari 2<\/strong><\/p><ul><li><strong>Intermediate Geo-statistics using Python II :<\/strong>\u00a0Intermediate Geo-statistics using Python II<\/li><li><strong>Intermediate Machine Learning for Geosciences Problems<\/strong>\u00a0:\u00a0Remote Sensing Analysis using Machine Learning, Time Series Landsat and Morphology Changes Detection, Hyperion Data, Lithology prediction<\/li><\/ul><p><strong>Hari 3<\/strong><\/p><ul><li><strong>Un-Supervised Machine Learning: DBSCAN\/k-Means Clustering for Petrographic Analysis<\/strong><\/li><li><strong>Deep Learning with Keras: \u00a0P and S Sonic Prediction<\/strong><\/li><li><strong>Pemrosesan Seismik Sederhana menggunakan Python.<\/strong><\/li><li><strong>Deep Learning for 2D Seismic Fault Detection<\/strong><\/li><li><strong>Introduction to Google Colabs and Earth Engine<\/strong><\/li><\/ul><\/div>\n\t\t\t\t\t<\/div><div class=\"eael-accordion-list\">\n\t\t\t\t\t<div id=\"audience\" class=\"elementor-tab-title eael-accordion-header\" tabindex=\"0\" data-tab=\"2\" aria-controls=\"elementor-tab-content-2012\"><span class=\"eael-advanced-accordion-icon-closed\"><svg aria-hidden=\"true\" class=\"fa-accordion-icon e-font-icon-svg e-fas-arrow-down\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M413.1 222.5l22.2 22.2c9.4 9.4 9.4 24.6 0 33.9L241 473c-9.4 9.4-24.6 9.4-33.9 0L12.7 278.6c-9.4-9.4-9.4-24.6 0-33.9l22.2-22.2c9.5-9.5 25-9.3 34.3.4L184 343.4V56c0-13.3 10.7-24 24-24h32c13.3 0 24 10.7 24 24v287.4l114.8-120.5c9.3-9.8 24.8-10 34.3-.4z\"><\/path><\/svg><\/span><span class=\"eael-advanced-accordion-icon-opened\"><svg aria-hidden=\"true\" class=\"fa-accordion-icon e-font-icon-svg e-fas-minus\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span><span class=\"eael-accordion-tab-title\">Peserta<\/span><\/div><div id=\"elementor-tab-content-2012\" class=\"eael-accordion-content clearfix\" data-tab=\"2\" aria-labelledby=\"audience\"><p>Peserta kursus ini adalah seluruh geoscientist dan reservoir engineer yang membutuhkan penggunaan Data Science dan Machine Learning.<\/p><\/div>\n\t\t\t\t\t<\/div><div class=\"eael-accordion-list\">\n\t\t\t\t\t<div id=\"instructor\" class=\"elementor-tab-title eael-accordion-header\" tabindex=\"0\" data-tab=\"3\" aria-controls=\"elementor-tab-content-2013\"><span class=\"eael-advanced-accordion-icon-closed\"><svg aria-hidden=\"true\" class=\"fa-accordion-icon e-font-icon-svg e-fas-arrow-down\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M413.1 222.5l22.2 22.2c9.4 9.4 9.4 24.6 0 33.9L241 473c-9.4 9.4-24.6 9.4-33.9 0L12.7 278.6c-9.4-9.4-9.4-24.6 0-33.9l22.2-22.2c9.5-9.5 25-9.3 34.3.4L184 343.4V56c0-13.3 10.7-24 24-24h32c13.3 0 24 10.7 24 24v287.4l114.8-120.5c9.3-9.8 24.8-10 34.3-.4z\"><\/path><\/svg><\/span><span class=\"eael-advanced-accordion-icon-opened\"><svg aria-hidden=\"true\" class=\"fa-accordion-icon e-font-icon-svg e-fas-minus\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span><span class=\"eael-accordion-tab-title\">Tentang Trainer<\/span><\/div><div id=\"elementor-tab-content-2013\" class=\"eael-accordion-content clearfix\" data-tab=\"3\" aria-labelledby=\"instructor\"><p>Memiliki pengalaman lebih dari 20 tahun bekerja di industri minyak dan gas nasional maupun multinasional, serta universitas. Memiliki pengalaman langsung dalam pemrosesan seismik darat\/laut 2D dan 3D, multicomponent dan PS, serta analisis geofisika. Memiliki keahlian pemrograman geofisika yang kuat, mengembangkan perangkat lunak geofisika baik berbasis standalone maupun web menggunakan Python, Perl, C++, dan Javascript. Saat ini aktif membawakan kursus Python untuk Geosains baik secara langsung maupun daring, termasuk Machine Learning, Deep Learning, dan implementasinya pada data geofisika.<\/p><\/div>\n\t\t\t\t\t<\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cec664 elementor-widget elementor-widget-heading\" data-id=\"7cec664\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">This Data Science &amp; machine Learning For GGRE Applications will be held several times in Indonesia throughout 2021. It will be held on VGEMS Learning Management System with a minimum of 5 participants and maximum 15 participants. The deliverables during the course includes: training material, certificate, and course recording.\n\nClick the Register button based on your preference date to join this training!   <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89d1e2d eael-dt-th-align-center eael-table-align-center elementor-widget elementor-widget-eael-data-table\" data-id=\"89d1e2d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-data-table.default\">\n\t\t\t\t\t\t\t<div class=\"eael-data-table-wrap\" data-table_id=\"89d1e2d\" id=\"eael-data-table-wrapper-89d1e2d\" data-custom_responsive=\"false\">\n\t\t\t<table class=\"tablesorter eael-data-table center\" id=\"eael-data-table-89d1e2d\">\n\t\t\t    <thead>\n\t\t\t        <tr class=\"table-header\">\n\t\t\t\t\t\t\t\t\t            <th class=\"\" id=\"\" colspan=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"data-table-header-text\">Location<\/span><\/th>\n\t\t\t        \t\t\t\t            <th class=\"\" id=\"\" colspan=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"data-table-header-text\">Start Date<\/span><\/th>\n\t\t\t        \t\t\t\t            <th class=\"\" id=\"\" colspan=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"data-table-header-text\">End Date<\/span><\/th>\n\t\t\t        \t\t\t\t            <th class=\"\" id=\"\" colspan=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"data-table-header-text\">Price<\/span><\/th>\n\t\t\t        \t\t\t\t            <th class=\"\" id=\"\" colspan=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"data-table-header-text\">Register<\/span><\/th>\n\t\t\t        \t\t\t\t        <\/tr>\n\t\t\t    <\/thead>\n\t\t\t  \t<tbody>\n\t\t\t\t\t\t\t\t\t\t\t<tr>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/tr>\n\t\t\t        \t\t\t\t\t\t<tr>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t   \t\t\t\t\t\t\t\t\t\t\t<td colspan=\"\" rowspan=\"\" class=\"\" id=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"td-content-wrapper\"><div class=\"td-content\">\n\t\t\t\t\t\t\t\t\t\t\t\t\tOnline (for Public)\t\t\t\t\t\t\t\t\t\t\t\t<\/div><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t   \t\t\t\t\t\t\t\t\t\t\t<td colspan=\"\" rowspan=\"\" class=\"\" id=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"td-content-wrapper\"><div class=\"td-content\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t06 Dec 2021\t\t\t\t\t\t\t\t\t\t\t\t<\/div><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t   \t\t\t\t\t\t\t\t\t\t\t<td colspan=\"\" rowspan=\"\" class=\"\" id=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"td-content-wrapper\"><div class=\"td-content\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t08 Dec 2021\t\t\t\t\t\t\t\t\t\t\t\t<\/div><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t   \t\t\t\t\t\t\t\t\t\t\t<td colspan=\"\" rowspan=\"\" class=\"\" id=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"td-content-wrapper\"><div class=\"td-content\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t1500 USD\/person\t\t\t\t\t\t\t\t\t\t\t\t<\/div><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t   \t\t\t\t\t\t\t\t\t\t\t<td colspan=\"\" rowspan=\"\" class=\"\" id=\"\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"td-content-wrapper\"><div class=\"td-content\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/geodwipa.com\/regtraining\/971\">\n<button>Register<\/button>\n<\/a>\t\t\t\t\t\t\t\t\t\t\t\t<\/div><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/tr>\n\t\t\t        \t\t\t    <\/tbody>\n\t\t\t<\/table>\n\t\t<\/div>\n\t  \t\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>Explore our Course Data Science &amp; Machine Learning for GGRE Application &#8211; Intermediate This course introduces the principles of Data Science &amp; Machine Learning applied to the Petroleum Industry, especially used for Geoscientist and Reservoir Engineering Applications. Participants will all the basic and benefit from Phyton for Geoscientist, Basic Data Science and Geostatistics, Well-log analysis, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2158,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[216,23],"tags":[],"class_list":["post-4734","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-g-data-science-course","category-upcoming-training"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Science &amp; Machine Learning for GGRE Application - GTN Consulting &amp; Training<\/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:\/\/ptgtn.com\/id\/2021\/11\/22\/data-science-machine-learning-for-ggre-application-intermediate\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science &amp; Machine Learning for GGRE Application - GTN Consulting &amp; Training\" \/>\n<meta property=\"og:description\" content=\"Explore our Course Data Science &amp; Machine Learning for GGRE Application &#8211; Intermediate This course introduces the principles of Data Science &amp; Machine Learning applied to the Petroleum Industry, especially used for Geoscientist and Reservoir Engineering Applications. 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