{"id":7260,"date":"2026-02-13T07:33:49","date_gmt":"2026-02-13T07:33:49","guid":{"rendered":"https:\/\/ptgtn.com\/?p=7260"},"modified":"2026-03-14T15:09:47","modified_gmt":"2026-03-14T15:09:47","slug":"data-science-machine-learning-for-ggre-applications-2","status":"publish","type":"post","link":"https:\/\/ptgtn.com\/id\/2026\/02\/13\/data-science-machine-learning-for-ggre-applications-2\/","title":{"rendered":"Data Science &amp; Machine Learning for GGRE Applications"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"7260\" class=\"elementor elementor-7260\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a370f0a e-flex e-con-boxed e-con e-parent\" data-id=\"a370f0a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9f899f9 elementor-widget elementor-widget-heading\" data-id=\"9f899f9\" 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\">Data Science &amp; Machine Learning for GGRE Applications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e737eba elementor-widget elementor-widget-text-editor\" data-id=\"e737eba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Kursus ini memperkenalkan prinsip-prinsip Data Science &amp; Machine Learning yang diterapkan pada Industri Perminyakan, terutama untuk aplikasi Geosains dan Teknik Reservoar (Reservoir Engineering). Peserta akan mempelajari semua hal mendasar dan mendapatkan manfaat dari penggunaan Python untuk Geosains, Dasar Data Science dan Geostatistik, analisis Well-log, Korelasi dan Klasifikasi menggunakan Python, hingga kegunaan Python untuk berbagai proyek di Industri Hulu Minyak dan Gas.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-08b08a7 elementor-widget elementor-widget-heading\" data-id=\"08b08a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Informasi Kursus<\/div>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b0c1cb1 e-con-full e-flex e-con e-child\" data-id=\"b0c1cb1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2f1aad2 elementor-position-inline-start elementor-mobile-position-inline-start elementor-widget__width-initial elementor-view-default elementor-widget elementor-widget-icon-box\" data-id=\"2f1aad2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-book\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M448 360V24c0-13.3-10.7-24-24-24H96C43 0 0 43 0 96v320c0 53 43 96 96 96h328c13.3 0 24-10.7 24-24v-16c0-7.5-3.5-14.3-8.9-18.7-4.2-15.4-4.2-59.3 0-74.7 5.4-4.3 8.9-11.1 8.9-18.6zM128 134c0-3.3 2.7-6 6-6h212c3.3 0 6 2.7 6 6v20c0 3.3-2.7 6-6 6H134c-3.3 0-6-2.7-6-6v-20zm0 64c0-3.3 2.7-6 6-6h212c3.3 0 6 2.7 6 6v20c0 3.3-2.7 6-6 6H134c-3.3 0-6-2.7-6-6v-20zm253.4 250H96c-17.7 0-32-14.3-32-32 0-17.6 14.4-32 32-32h285.4c-1.9 17.1-1.9 46.9 0 64z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tDisiplin\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tH. Data Management Course\/Data Management\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ebac09e elementor-position-inline-start elementor-mobile-position-inline-start elementor-widget__width-initial elementor-view-default elementor-widget elementor-widget-icon-box\" data-id=\"ebac09e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-clock\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm0 448c-110.5 0-200-89.5-200-200S145.5 56 256 56s200 89.5 200 200-89.5 200-200 200zm61.8-104.4l-84.9-61.7c-3.1-2.3-4.9-5.9-4.9-9.7V116c0-6.6 5.4-12 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class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-chart-bar\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M332.8 320h38.4c6.4 0 12.8-6.4 12.8-12.8V172.8c0-6.4-6.4-12.8-12.8-12.8h-38.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h38.4c6.4 0 12.8-6.4 12.8-12.8V76.8c0-6.4-6.4-12.8-12.8-12.8h-38.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-288 0h38.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-38.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h38.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-38.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zM496 384H64V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-32c0-8.84-7.16-16-16-16z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tLevel\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tTerampil\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-173b467 elementor-position-inline-start elementor-mobile-position-inline-start elementor-widget__width-initial elementor-view-default elementor-widget elementor-widget-icon-box\" data-id=\"173b467\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-bullhorn\" viewbox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M576 240c0-23.63-12.95-44.04-32-55.12V32.01C544 23.26 537.02 0 512 0c-7.12 0-14.19 2.38-19.98 7.02l-85.03 68.03C364.28 109.19 310.66 128 256 128H64c-35.35 0-64 28.65-64 64v96c0 35.35 28.65 64 64 64h33.7c-1.39 10.48-2.18 21.14-2.18 32 0 39.77 9.26 77.35 25.56 110.94 5.19 10.69 16.52 17.06 28.4 17.06h74.28c26.05 0 41.69-29.84 25.9-50.56-16.4-21.52-26.15-48.36-26.15-77.44 0-11.11 1.62-21.79 4.41-32H256c54.66 0 108.28 18.81 150.98 52.95l85.03 68.03a32.023 32.023 0 0 0 19.98 7.02c24.92 0 32-22.78 32-32V295.13C563.05 284.04 576 263.63 576 240zm-96 141.42l-33.05-26.44C392.95 311.78 325.12 288 256 288v-96c69.12 0 136.95-23.78 190.95-66.98L480 98.58v282.84z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tMetode Penyampaian\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tTatap muka (kelas)\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-97d9fa8 elementor-widget elementor-widget-heading\" data-id=\"97d9fa8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Jadwal<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2525639 elementor-widget elementor-widget-heading\" data-id=\"2525639\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Agenda<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-466166b elementor-widget elementor-widget-text-editor\" data-id=\"466166b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>Hari 1<\/strong><\/p><ul><li><strong>Dasar Python untuk Geosains: Input\/Output File Teks, CSV, dan Biner; List, Tuple, Set, Dictionary; Array 1D dan 2D; If Then Else; Fungsi; Iterasi\/Loop; Pandas.<\/strong>Text, CSV, and Binary File IO, List, Tuple, Set, Dictionary, 1D and 2D Array, If Then Else, Function, Loop-Iterations, Pandas<\/li><li><strong>Dasar Data Science dan Geostatistik menggunakan Python.<\/strong><\/li><li><strong>Analisis Well-log menggunakan Pandas: Pemfilteran, de-spike, penyuntingan casing-shoe, serta manipulasi dan komputasi Well-log.<\/strong>\u00a0Filtering, de-spike, casing-shoe editing &amp; Well logs manipulation and computation<\/li><li><strong>Visualisasi Well-log menggunakan Library Python: Kurva Tunggal, Multi-kurva, Crossplot 2D dan 3D, pengisian \"Sand-Shale\", dan Visualisasi Citra Sumur (Well-Image).<\/strong>\u00a0Single Curves, Multi-curves, 2D and 3D Crossplots, \u201cSand-Shale\u201d Fill, Well-Image Visualization<\/li><\/ul><p><strong>Hari 2<\/strong><\/p><ul><li><strong>Dasar-dasar Supervised Machine Learning untuk Aplikasi Geosains: Support Vector Machine, K-Nearest Neighbors, Customized K-Nearest Neighbors, dan Jaringan Syaraf Tiruan (Artificial Neural Network).<\/strong>\u00a0Support Vector Machine , K-Nearest Neighbors, Customized K-Nearest\u00a0Neighbours,\u00a0Arti?cial\u00a0Neural Network<\/li><\/ul><p><strong>Hari 3<\/strong><\/p><ul><li><strong>Mendekode Format Seismik SEGY.<\/strong><\/li><li><strong>Menyimpan Data Seismik ke dalam Database SQLite.<\/strong><\/li><li><strong>Pemrosesan Seismik Sederhana menggunakan Python.<\/strong><\/li><li><strong>Visualisasi Seismik 2D menggunakan Library Python.<\/strong><\/li><li><strong>Komputasi Big Data menggunakan Infrastruktur Multi-cores.<\/strong><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9bbed6 elementor-widget elementor-widget-heading\" data-id=\"b9bbed6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Peserta<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b16b727 elementor-widget elementor-widget-text-editor\" data-id=\"b16b727\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Peserta kursus ini adalah seluruh geoscientist dan reservoir engineer yang membutuhkan penggunaan Data Science dan Machine Learning.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42ced06 elementor-widget elementor-widget-heading\" data-id=\"42ced06\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Tentang Trainer<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18b432e elementor-widget elementor-widget-text-editor\" data-id=\"18b432e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<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>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4f251f4 e-con-full e-flex e-con e-child\" data-id=\"4f251f4\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e0a3488 elementor-widget elementor-widget-text-editor\" data-id=\"e0a3488\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Untuk informasi lebih lanjut, silakan hubungi administrator kami<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6bf3dfc elementor-widget elementor-widget-button\" data-id=\"6bf3dfc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/api.whatsapp.com\/send?phone=6282113937246&#038;text=Hello%20ptgtn.com%2C%20I%20would%20like%20to%20consult%20regarding%20the%20training%20services%20offered%20by%20your%20company\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-comments\" viewbox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M532 386.2c27.5-27.1 44-61.1 44-98.2 0-80-76.5-146.1-176.2-157.9C368.3 72.5 294.3 32 208 32 93.1 32 0 103.6 0 192c0 37 16.5 71 44 98.2-15.3 30.7-37.3 54.5-37.7 54.9-6.3 6.7-8.1 16.5-4.4 25 3.6 8.5 12 14 21.2 14 53.5 0 96.7-20.2 125.2-38.8 9.2 2.1 18.7 3.7 28.4 4.9C208.1 407.6 281.8 448 368 448c20.8 0 40.8-2.4 59.8-6.8C456.3 459.7 499.4 480 553 480c9.2 0 17.5-5.5 21.2-14 3.6-8.5 1.9-18.3-4.4-25-.4-.3-22.5-24.1-37.8-54.8zm-392.8-92.3L122.1 305c-14.1 9.1-28.5 16.3-43.1 21.4 2.7-4.7 5.4-9.7 8-14.8l15.5-31.1L77.7 256C64.2 242.6 48 220.7 48 192c0-60.7 73.3-112 160-112s160 51.3 160 112-73.3 112-160 112c-16.5 0-33-1.9-49-5.6l-19.8-4.5zM498.3 352l-24.7 24.4 15.5 31.1c2.6 5.1 5.3 10.1 8 14.8-14.6-5.1-29-12.3-43.1-21.4l-17.1-11.1-19.9 4.6c-16 3.7-32.5 5.6-49 5.6-54 0-102.2-20.1-131.3-49.7C338 339.5 416 272.9 416 192c0-3.4-.4-6.7-.7-10C479.7 196.5 528 238.8 528 288c0 28.7-16.2 50.6-29.7 64z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Kontak Kami<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Data Science &amp; Machine Learning for GGRE Applications 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, Correlation and Classification using Phyton, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"elementor_theme","format":"standard","meta":{"footnotes":""},"categories":[241],"tags":[],"class_list":["post-7260","post","type-post","status-publish","format-standard","hentry","category-data-management-and-science"],"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 Applications - 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\/2026\/02\/13\/data-science-machine-learning-for-ggre-applications-2\/\" \/>\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 Applications - GTN Consulting &amp; Training\" \/>\n<meta property=\"og:description\" content=\"Data Science &amp; Machine Learning for GGRE Applications 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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