{"id":21397,"date":"2024-10-15T09:33:22","date_gmt":"2024-10-15T01:33:22","guid":{"rendered":"https:\/\/www.1ai.net\/?p=21397"},"modified":"2024-10-15T09:33:22","modified_gmt":"2024-10-15T01:33:22","slug":"%e4%b8%ad%e5%9b%bd%e6%b5%b7%e6%b2%b9%e5%8f%91%e5%b8%83%e6%b5%b7%e8%83%bd%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/21397.html","title":{"rendered":"CNOOC Releases \"Sea Energy\" Artificial Intelligence Model"},"content":{"rendered":"<p>from<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e4%b8%ad%e5%9b%bd%e6%b5%b7%e6%b2%b9\" title=\"&quot;Look at the article that contains the label &quot;China Sea Oil&quot;\" target=\"_blank\" >China National Offshore Oil Corporation<\/a>Official WeChat public number was informed that yesterday China National Offshore Oil \"<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%b5%b7%e8%83%bd\" title=\"Look at the article with the tag\" target=\"_blank\" >sea energy<\/a>\u201d<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e6%a8%a1%e5%9e%8b\" title=\"_Other Organiser\" target=\"_blank\" >Artificial Intelligence Model<\/a>The press conference was held at the Group's headquarters, where CNOOC cooperated with China Telecom and Tech Data Xunfei to launch the \"Hai Neng\" artificial intelligence model.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-21398\" title=\"a325fa6dj00sldiyt002ld000u000fpm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/10\/a325fa6dj00sldiyt002ld000u000fpm.jpg\" alt=\"a325fa6dj00sldiyt002ld000u000fpm\" width=\"1080\" height=\"565\" \/><\/p>\n<p>According to reports, CNOOC's \"Sea Energy\" artificial intelligence model relies on massive data resources, integrates existing models, and takes into account professional and general scenarios.<strong>The launch of 5 specialized scenario models and 6 general scenario models with the characteristics of CNOOC.<\/strong>It also promotes the realization of \"scale up, efficiency up, experience up, cost down, risk down, direct contact down\". The professional scenario model builds a new model of data-driven and business collaboration for offshore oilfield production stabilization and increase, safe drilling, offshore manufacturing, equipment maintenance, LNG (liquefied natural gas) trade, oil and gas sales, etc., to further enhance the level of digital intelligence in the industry. The generalized scenario model introduces intelligent applications to meet the needs of bidding and procurement, employee health, and auxiliary office, helping to improve business management and office efficiency.<\/p>\n<p>During the conference, China Telecom and Tech Data Xunfei demonstrated the latest research results of arithmetic power layout, 5G technology, industry cloud and other digital intelligence products such as robots and robotic dogs to the participants.<\/p>","protected":false},"excerpt":{"rendered":"<p>From the official WeChat public number of China National Offshore Oil Corporation (CNOOC) was informed that yesterday CNOOC's \"Hai Neng\" artificial intelligence model conference was held at the group's headquarters, and CNOOC launched the \"Hai Neng\" artificial intelligence model in cooperation with China Telecom, Tech Data Xunfei and other enterprises. According to reports, CNOOC's \"Hai Neng\" artificial intelligence model relies on massive data resources, integrates existing models, and takes into account professional and general scenarios. The conference launched five professional scene models and six general scene models with CNOOC's characteristics to promote the realization of \"scale, efficiency, experience, cost reduction, risk reduction and direct contact\". The specialized scenario models are designed for offshore oilfield production stabilization and increase, safe drilling, offshore manufacturing, equipment maintenance, LNG (liquefied natural gas) trading, oil and gas sales and other scenarios, to build a new model of data-driven, business collaboration, and to further improve the efficiency of offshore oilfield production.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[4618,599,4619],"collection":[],"class_list":["post-21397","post","type-post","status-publish","format-standard","hentry","category-news","tag-4618","tag-599","tag-4619"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/21397","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=21397"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/21397\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=21397"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=21397"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=21397"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=21397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}