{"id":3873,"date":"2022-10-17T10:01:43","date_gmt":"2022-10-17T15:01:43","guid":{"rendered":"https:\/\/colombiainteligente.org\/?p=3873"},"modified":"2022-12-16T10:02:48","modified_gmt":"2022-12-16T15:02:48","slug":"regulator-station-risk-model-supported-by-a-parametric-study-cloud-application","status":"publish","type":"post","link":"https:\/\/colombiainteligente.org\/es_co\/tendencias\/regulator-station-risk-model-supported-by-a-parametric-study-cloud-application\/","title":{"rendered":"Regulator station risk model supported by a parametric study cloud application"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"3873\" class=\"elementor elementor-3873\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-79148795 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"79148795\" data-element_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-1ece4ebf\" data-id=\"1ece4ebf\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7a61c7e5 elementor-widget elementor-widget-text-editor\" data-id=\"7a61c7e5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.14.0 - 26-06-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Este libro blanco presenta un enfoque sistem\u00e1tico para evaluar los posibles escenarios de fallo abierto y fallo cerrado para numerosos tipos de dise\u00f1o de estaciones reguladoras y, a continuaci\u00f3n, emparejar la probabilidad de estos eventos con las posibles consecuencias, incluyendo la salud y la seguridad, los da\u00f1os a la propiedad y los impactos de la interrupci\u00f3n de la red.<\/p><p>The gas industry has relied on pressure regulators for over two centuries to maintain a constant, reduced pressure to deliver gas safely to consumers. While modern gas regulator stations are highly advanced, they are not without vulnerabilities that can pose a significant risk to the safety and reliability of operators. Consequences of the failure of gas regulator stations may include customers unable to heat their homes during frigid temperatures, damage to equipment, and even loss of life in the event of an explosion. Utilities are under constant pressure to demonstrate that they are operating their systems at the highest level of safety, compliance, and efficiency. In fact, the National Transportation Safety Board in the United States has already started to lay the groundwork for increased regulations nationwide, one aspect of which is the vulnerability of the regulator stations themselves.\u00a0<\/p><p>Para leer m\u00e1s ingrese a:<\/p><p><a href=\"https:\/\/www.dnv.com\/Publications\/regulator-station-risk-model-supported-by-a-parametric-study-cloud-application-232208\">https:\/\/www.dnv.com\/Publications\/regulator-station-risk-model-supported-by-a-parametric-study-cloud-application-232208<\/a><\/p><p><a href=\"https:\/\/www.dnv.com\/software\/campaigns-2022\/synergi-gas-regulator-station-risk-model-supported-by-a-parametric-study-cloud-application-whitepaper.html\">https:\/\/www.dnv.com\/software\/campaigns-2022\/synergi-gas-regulator-station-risk-model-supported-by-a-parametric-study-cloud-application-whitepaper.html<\/a><\/p>\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\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t<div style=\"text-align:center\" class=\"yasr-auto-insert-visitor\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Este libro blanco presenta un enfoque sistem\u00e1tico para evaluar los posibles escenarios de fallo abierto y fallo cerrado para numerosos tipos de dise\u00f1o de estaciones reguladoras y, a continuaci\u00f3n, emparejar la probabilidad de estos eventos con las posibles consecuencias, incluyendo la salud y la seguridad, los da\u00f1os a la propiedad y los impactos de la interrupci\u00f3n de la red<\/p>","protected":false},"author":23,"featured_media":3816,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"yasr_overall_rating":0,"yasr_post_is_review":"","yasr_auto_insert_disabled":"","yasr_review_type":"","footnotes":""},"categories":[55,53],"tags":[],"class_list":["post-3873","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digitalizacion","category-tendencias"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Regulator station risk model supported by a parametric study cloud application - Colombia Inteligente<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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