{"id":60421,"date":"2026-06-08T09:50:59","date_gmt":"2026-06-08T06:50:59","guid":{"rendered":"https:\/\/geoconversation.org\/news\/six-digital-experts-could-replace-geologists-and-economists-in-oil-and-gas-asset-evaluation\/"},"modified":"2026-06-08T09:58:13","modified_gmt":"2026-06-08T06:58:13","slug":"six-digital-experts-could-replace-geologists-and-economists-in-oil-and-gas-asset-evaluation","status":"publish","type":"news","link":"https:\/\/geoconversation.org\/en\/news\/six-digital-experts-could-replace-geologists-and-economists-in-oil-and-gas-asset-evaluation\/","title":{"rendered":"Six Digital Experts Could Replace Geologists and Economists in Oil and Gas Asset Evaluation"},"content":{"rendered":"\n

On June 9, 2026, the Geowebinars platform will host an online event<\/a> dedicated to the practical application of multi-agent artificial intelligence systems<\/a> in the oil and gas industry. Gleb Lensky, CEO of AVP AI LLC, will explain how a team of virtual specialists can evaluate prospective assets faster and at a lower cost than a traditional multidisciplinary expert team. <\/p>\n\n

Traditionally, assessing an oil and gas field requires weeks or even months of work by geologists, reservoir engineers, economists, and development specialists. Modern technologies now make it possible to automate a significant portion of this process through a multi-agent AI system that employs six specialized artificial intelligence agents covering disciplines ranging from geology and reservoir simulation to economics and business analysis. <\/p>\n\n

During the webinar, Gleb Lensky will present real-world case studies demonstrating how such systems are designed and operated. He will explain why calculation engines and engineering formulas are separated from the large language model itself and how this architecture improves the reliability of results. Participants will learn where artificial intelligence can already be trusted to perform independently and where strict expert oversight remains essential. Particular attention will be given to the reserve verification cascade\u2014a multi-stage validation process designed to identify and eliminate errors, inconsistencies, and AI hallucinations before conclusions are delivered to decision-makers. <\/p>\n\n

The event will be relevant for geologists, exploration specialists, engineers, and anyone interested in the practical implementation of AI technologies in the subsurface and natural resources sector. Participation is free of charge, although advance registration<\/a> is required. <\/p>\n\n

Multi-agent AI systems<\/a> are rapidly becoming practical tools capable of accelerating and reducing the cost of asset evaluation. Their effectiveness, however, depends on the intelligent combination of automation and human expertise.<\/p>\n\n

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

On June 9, 2026, the Geowebinars platform will host an online event dedicated to the practical application of multi-agent artificial intelligence systems in the oil and gas industry. Gleb Lensky, CEO of AVP AI LLC, will explain how a team of virtual specialists can evaluate prospective assets faster and at a lower cost than a […]<\/p>\n","protected":false},"author":12,"featured_media":60420,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"Six AI Experts to Accelerate Oil and Gas Asset Evaluation","_seopress_titles_desc":"A June 9 webinar will showcase a multi-agent AI system for screening oil and gas assets. Learn how virtual geologists, reservoir engineers, economists, and analysts can work together to assess prospects faster and more efficiently. ","_seopress_robots_index":"","_seopress_analysis_target_kw":"","footnotes":""},"categories":[572],"tags":[574,630],"class_list":["post-60421","news","type-news","status-publish","has-post-thumbnail","category-it","tag-artificial-intelligence-in-geology","tag-reservoir-modelling"],"acf":[],"pbg_featured_image_src":{"full":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa.webp",1586,992,false],"thumbnail":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-150x94.webp",150,94,true],"medium":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-300x188.webp",300,188,true],"medium_large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-768x480.webp",768,480,true],"large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-1024x640.webp",1024,640,true],"1536x1536":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-1536x961.webp",1536,961,true],"2048x2048":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa.webp",1586,992,false],"bricks_large_16x9":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-1200x675.webp",1200,675,true],"bricks_large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-1200x751.webp",1200,751,true],"bricks_large_square":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-1200x992.webp",1200,992,true],"bricks_medium":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-600x375.webp",600,375,true],"bricks_medium_square":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/06\/multiagentnaya-ai-sistemaa-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":"On June 9, 2026, the Geowebinars platform will host an online event dedicated to the practical application of multi-agent artificial intelligence systems in the oil and gas industry. Gleb Lensky, CEO of AVP AI LLC, will explain how a team of virtual specialists can evaluate prospective assets faster and at a lower cost than a…","_links":{"self":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/60421","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=60421"}],"version-history":[{"count":1,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/60421\/revisions"}],"predecessor-version":[{"id":60422,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/60421\/revisions\/60422"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/media\/60420"}],"wp:attachment":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/media?parent=60421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/categories?post=60421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/tags?post=60421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}