Experts at SPE’s Annual Technical Conference and Exhibition say that, despite AI’s great potential, it’s important to be realistic about AI’s capabilities and to remember that successful projects solve specific business problems. Data Science and Digital Engineering Twitter LinkedIn Pinterest YouTube Show more sharing options “Decoding the Future: Harnessing Digital Petroleum Technologies” panelists, from left, Khaled Al Blooshi, vice president for digital projects and innovation at ADNOC; Corva CEO Ryan Dawson; Saeed Mubarak, petroleum engineering and intelligent fields consultant for Saudi Aramco; and David Johnson, digital solutions principal for Petrolink, spoke on 24 September at SPE’s Annual Technical Conference and Exhibition in New Orleans. Artificial intelligence (AI) may not solve all the oil industry’s problems, but it can certainly contribute to the bottom line. When developed in line with company goals, AI technology can serve real business cases, but bringing AI solutions into the oil patch requires overcoming certain challenges, speakers said during the “Decoding the Future: Harnessing Digital Petroleum Technologies” session on 24 September at SPE’s Annual Technical Conference and Exhibition in New Orleans. But just because something has potential doesn’t mean it will be deployed. David Johnson, digital solutions principal for Petrolink, said most AI projects don’t […]