{"id":57794,"date":"2026-05-08T10:47:09","date_gmt":"2026-05-08T07:47:09","guid":{"rendered":"https:\/\/geoconversation.org\/news\/gazprom-neft-launches-unmanned-trucks-at-fields-in-siberia-and-yamal\/"},"modified":"2026-05-08T11:04:18","modified_gmt":"2026-05-08T08:04:18","slug":"gazprom-neft-launches-unmanned-trucks-at-fields-in-siberia-and-yamal","status":"publish","type":"news","link":"https:\/\/geoconversation.org\/en\/news\/gazprom-neft-launches-unmanned-trucks-at-fields-in-siberia-and-yamal\/","title":{"rendered":"Gazprom Neft Launches Unmanned Trucks at Fields in Siberia and Yamal"},"content":{"rendered":"\n<p>Gazprom Neft has put around two dozen autonomous truck tractors into industrial operation. The vehicles are already delivering equipment <a href=\"https:\/\/geoconversation.org\/shorts\/dobycha-nefti-v-mire\/\" target=\"_blank\" rel=\"noopener\">to production sites<\/a> in the Yamalo-Nenets Autonomous Okrug, Yugra and Yakutia. This is the first stage of a large-scale project that the company spent five years testing on eight types of unmanned vehicles and four autonomous driving systems.  <\/p>\n\n<p>The trials took place in Eastern Siberia on difficult interfield roads with elevation changes and extremely low temperatures. Engineers tested algorithms for obstacle detection, anti-skid systems and course stabilization on slippery sections. The result was a platooning technology \u2014 an \u201celectronic trail\u201d system in which several trucks move in a convoy behind a lead vehicle, maintaining distance and responding to obstacles on their own.  <\/p>\n\n<p>Each all-wheel-drive AMT tractor, produced by the Miass Automobile Plant, has a payload capacity of 24 tonnes. The vehicles are equipped with lidars, cameras and <a href=\"https:\/\/geoconversation.org\/en\/how-artificial-intelligence-makes-mining-smarter\/\" target=\"_blank\" rel=\"noopener\">onboard computers powered by artificial intelligence<\/a>. The system does not require a stable satellite signal or internet connection: navigation, distance control and obstacle detection are handled by sensors and cameras. The tractors are adapted to all types of roads and the harsh Arctic climate.   <\/p>\n\n<p>According to the company, switching to autonomous logistics can reduce equipment transportation costs by one third, or 33%, while also improving the reliability of deliveries to hard-to-reach areas. Unmanned convoys are already operating in regular mode. <\/p>\n\n<p>Gazprom Neft\u2019s project shows that autonomous transport in the Far North is no longer a novelty. It is becoming a practical tool that reduces dependence on the human factor, saves money and helps keep production sites running reliably in the harshest conditions. <\/p>\n\n<p class=\"has-text-align-right has-small-font-size\">Source: Gazprom Neft<\/p>\n\n<p class=\"has-text-align-right has-small-font-size\">Image: Gazprom Neft<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Gazprom Neft has put around two dozen autonomous truck tractors into industrial operation. The vehicles are already delivering equipment to production sites in the Yamalo-Nenets Autonomous Okrug, Yugra and Yakutia. This is the first stage of a large-scale project that the company spent five years testing on eight types of unmanned vehicles and four autonomous [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":57793,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"Gazprom Neft Launches 24-Tonne Unmanned Trucks in Siberia","_seopress_titles_desc":"AI-powered unmanned tractors are operating in Yamal, Yugra and Yakutia. The \u201celectronic trail\u201d platooning technology cuts logistics costs by 33%. Learn the details.  ","_seopress_robots_index":"","footnotes":""},"categories":[549],"tags":[573,609],"class_list":{"0":"post-57794","1":"news","2":"type-news","3":"status-publish","4":"has-post-thumbnail","6":"category-mining","7":"tag-automation-and-robotization","8":"tag-unmanned-technologies"},"acf":[],"pbg_featured_image_src":{"full":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am.webp",1200,800,false],"thumbnail":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am-150x100.webp",150,100,true],"medium":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am-300x200.webp",300,200,true],"medium_large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am-768x512.webp",768,512,true],"large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am-1024x683.webp",1024,683,true],"1536x1536":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am.webp",1200,800,false],"2048x2048":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am.webp",1200,800,false],"bricks_large_16x9":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am-1200x675.webp",1200,675,true],"bricks_large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am.webp",1200,800,false],"bricks_large_square":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am.webp",1200,800,false],"bricks_medium":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am-600x400.webp",600,400,true],"bricks_medium_square":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/05\/bespilotnyy-tyagach-am-600x600.webp",600,600,true]},"pbg_author_info":{"display_name":"Yulia Frolova","author_link":"https:\/\/geoconversation.org\/en\/author\/giulia-nikolaevna\/","author_img":false},"pbg_comment_info":" No Comments","pbg_excerpt":"Gazprom Neft has put around two dozen autonomous truck tractors into industrial operation. The vehicles are already delivering equipment to production sites in the Yamalo-Nenets Autonomous Okrug, Yugra and Yakutia. This is the first stage of a large-scale project that the company spent five years testing on eight types of unmanned vehicles and four autonomous&hellip;","_links":{"self":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/57794","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\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/comments?post=57794"}],"version-history":[{"count":1,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/57794\/revisions"}],"predecessor-version":[{"id":57795,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/57794\/revisions\/57795"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/media\/57793"}],"wp:attachment":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/media?parent=57794"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/categories?post=57794"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/tags?post=57794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}