{"id":59822,"date":"2025-08-27T23:48:33","date_gmt":"2025-08-27T20:48:33","guid":{"rendered":"https:\/\/geoconversation.org\/news\/ai-system-for-environmental-safety-of-the-oil-and-gas-sector\/"},"modified":"2025-08-27T23:48:33","modified_gmt":"2025-08-27T20:48:33","slug":"ai-system-for-environmental-safety-of-the-oil-and-gas-sector","status":"publish","type":"news","link":"https:\/\/geoconversation.org\/en\/news\/ai-system-for-environmental-safety-of-the-oil-and-gas-sector\/","title":{"rendered":"AI system for environmental safety of the oil and gas sector"},"content":{"rendered":"\n

Environmental safety has become a key factor in sustainable development for oil and gas<\/a> companies. Technologies are coming to the fore that not only monitor compliance with regulations, but also prevent possible problems.<\/p>\n\n\n

The Russian market offers ready-made tools for this. To the registry artificial intelligence<\/a> The Ministry of Industry and Trade has included a proactive environmental risk management system from MTS. This is the first solution on the list that was created specifically for environmental problems.<\/p>\n\n\n

Development works on a full cycle principle. It analyzes the current state of the air, builds dynamic forecasts for two days and takes into account meteorological data. Algorithms model how emissions will dissipate and help identify the source of pollution.<\/p>\n\n\n

If an excess of permissible concentrations is detected, the program generates a detailed probability matrix. This allows you to quickly investigate an incident and pinpoint the problem area, saving time and resources.<\/p>\n\n\n

In addition to environmental benefits, the system brings direct economic benefits to companies. Thanks to accurate forecasts, businesses can optimize production processes and avoid unnecessary shutdowns.<\/p>\n\n\n

In some cases, this helps save up to hundreds of millions of rubles annually. It’s about preventing downtime due to adverse weather conditions or poor decisions.<\/p>\n\n\n

For the oil and gas industry, such technologies are becoming a key element in the risk management strategy. They increase business resilience and ensure stability even in difficult external conditions.<\/p>\n\n\n

The material was prepared with the support of the Russian Ministry of Education and Science as part of the Decade of Science and Technology.<\/sub><\/p>\n\n\n

Source: @nefte_baza<\/sub><\/p>\n\n\n

Image generated by a neural network<\/sub><\/p>\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Environmental safety has become a key factor in sustainable development for oil and gas companies. Technologies are coming to the fore that not only monitor compliance with regulations, but also prevent possible problems. The Russian market offers ready-made tools for this. To the registry artificial intelligence The M<\/p>\n","protected":false},"author":9,"featured_media":24343,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"AI system for environmental safety of the oil and gas sector","_seopress_titles_desc":"Find out how the MTS system predicts environmental threats and helps oil and gas companies avoid multimillion-dollar losses.","_seopress_robots_index":"","_seopress_analysis_target_kw":"","footnotes":""},"categories":[126],"tags":[321],"class_list":["post-59822","news","type-news","status-publish","has-post-thumbnail","category-eco","tag-iskusstvennyj-intellekt-v-geologii"],"acf":[],"pbg_featured_image_src":{"full":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png.webp",1280,1024,false],"thumbnail":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-150x150.webp",150,150,true],"medium":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-300x240.webp",300,240,true],"medium_large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-768x614.webp",768,614,true],"large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-1024x819.webp",1024,819,true],"1536x1536":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png.webp",1280,1024,false],"2048x2048":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png.webp",1280,1024,false],"bricks_large_16x9":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-1200x675.webp",1200,675,true],"bricks_large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-1200x960.webp",1200,960,true],"bricks_large_square":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-1200x1024.webp",1200,1024,true],"bricks_medium":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-600x480.webp",600,480,true],"bricks_medium_square":["https:\/\/geoconversation.org\/wp-content\/uploads\/2025\/08\/ai-sistema-ekologicheskih-riskov-dlya-neftegaza-illustracia_png-600x600.webp",600,600,true]},"pbg_author_info":{"display_name":"Lyubov Cherkasova","author_link":"https:\/\/geoconversation.org\/en\/author\/amourallis\/","author_img":false},"pbg_comment_info":" No Comments","pbg_excerpt":"Environmental safety has become a key factor in sustainable development for oil and gas companies. Technologies are coming to the fore that not only monitor compliance with regulations, but also prevent possible problems. The Russian market offers ready-made tools for this. To the registry artificial intelligence The M","_links":{"self":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/59822","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/types\/news"}],"author":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/comments?post=59822"}],"version-history":[{"count":0,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/59822\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/media\/24343"}],"wp:attachment":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/media?parent=59822"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/categories?post=59822"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/tags?post=59822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}