http://www.hydrocarbonprocessing.com Hydrocarbon Processing http://hydrocarbonprocessing.com/news/2026/05/how-laser-technology-cuts-through-traditional-reliability-and-confidence-concerns-in-industrial-gas-analysis/ http://hydrocarbonprocessing.com/news/2026/05/honeywell-and-mcneese-state-university-partner-to-train-the-lng-workforce-of-the-future/ http://hydrocarbonprocessing.com/news/2026/05/aramco-and-emerson-collaborate-on-strategic-corrosion-rd/ http://hydrocarbonprocessing.com/news/2026/05/adnoc-deploys-heavy-duty-inspector-robot-for-hazardous-environments/ http://hydrocarbonprocessing.com/news/2026/05/emerson-releases-synchros-iiot-asset-monitoring-platform/ http://hydrocarbonprocessing.com/news/2026/05/digital-exclusive-the-biggest-obstacle-to-the-refinery-of-the-future-is-a-mindset-shift/ Barring a few exemplary cases, refineries continue to rely heavily on manual interventions, reactive maintenance and periodic optimization reviews, leaving enormous value trapped inside their own processes. http://hydrocarbonprocessing.com/news/2026/05/emerson-announces-major-advancements-to-aspentechs-inmation-ot-data-fabric/ http://hydrocarbonprocessing.com/news/2026/05/cognite-introduces-fully-integrated-ai-native-industrial-experience/ Powered by Cognite’s industry-leading Industrial AI and Data Platform, Cognite Flows delivers the confidence and scalability needed to achieve outsized business impact from agentic AI. http://hydrocarbonprocessing.com/news/2026/05/intercontinental-energy-s-p2-h2-node-integrates-ai-data-center-capability-to-deliver-low-cost-ultra-reliable-green-compute/ Perth-based InterContinental Energy (ICE) has announced the evolution of its P2(H2)Node architecture to deliver integrated AI data center capability, enabling 100% renewable power, 99.995% uptime, and all-in power costs below $48/MWh at the data center. http://hydrocarbonprocessing.com/news/2026/05/ametek-spectro-scientific-introduces-truvu-360-fluid-iq-analytics-and-intelligence-solution/ Onsite oil analysis is essential for keeping critical assets running reliably. However, traditional approaches often rely on delayed lab results, fixed sampling intervals and test data viewed in isolation. These constraints can obscure emerging issues and make it difficult to predict when change is coming.