Global Tech Shifts: AI in Nuclear, CCS Doubts, Hydrogen From Waste

China is advancing a plan to integrate artificial intelligence throughout the nuclear energy lifecycle, according to a report from OilPrice.com. Researchers at the Chinese Academy of Sciences revealed a system called ADANES, or the Accelerator-Driven Advanced Nuclear Energy System, at the World Artificial Intelligence Conference in Shanghai. The system aims to change the safety logic of conventional reactors, with AI playing a core role from design through operation and maintenance. Wang Shoujun, president of the Chinese Nuclear Society, stated that AI integration into sectors like nuclear energy is an inevitability, and the focus should be on planning and safety.

Separately, optimism around carbon capture and storage (CCS) technology is facing renewed skepticism as several projects underperform, OilPrice.com reported. A review by the Institute for Energy Economics and Financial Analysis of 13 operating CCS projects globally found most captured below their design levels of 90%, with some failing outright. This comes despite major investments from oil giants like ExxonMobil, Shell, and Chevron, and significant government funding in regions like Germany and the United Kingdom. The report suggests the technical challenges and potential for cost escalation per tonne are becoming more apparent.

In a third development, scientists from UCLA and Ewha Womans University have developed a method to convert plastic waste into pure hydrogen fuel, OilPrice.com reported. The process, called Alkaline Thermal Treatment (ATT), can use common, hard-to-recycle plastics like polyethylene in a single reactor to produce high-purity hydrogen with zero carbon emissions. Professor Ah-Hyung "Alissa" Park stated the technology tackles two global problems: accumulating plastic waste and the need for clean hydrogen to decarbonize energy. The findings were published this month in the journal PNAS.

For Bakken operators, these global developments represent shifting landscapes in alternative energy and decarbonization technology. The push for AI in critical infrastructure like nuclear power highlights a growing focus on operational efficiency and safety through advanced computing, concepts applicable to oilfield automation. The reported struggles of some CCS projects underscore the technical and economic hurdles facing a technology many see as essential for the future of fossil fuels. Meanwhile, breakthroughs in hydrogen production from waste materials could eventually influence fuel markets and waste management strategies in the oilfield.