http://www.hydrocarbonprocessing.com Hydrocarbon Processing http://hydrocarbonprocessing.com/news/2024/11/clonbio-group-selects-seeq-for-enterprise-wide-analytics/ Seeq, a leader in industrial analytics, AI and monitoring, and ClonBio Group Ltd., an Irish agribusiness company, have announced a multi-year commercial agreement for the Seeq Industrial Analytics and AI platform to be leveraged across ClonBio’s biorefinery assets in Europe and its principal asset in the U.S. to further accelerate digital transformation outcomes. http://hydrocarbonprocessing.com/news/2024/11/digital-feature-sponsored-refiner-improves-ot-cyber-risk-measurement-and-management-a-case-study-on-achieving-visibility-into-ot-cybersecurity-policy-compliance/ This case study details how a U.S.-based Fortune 50 petroleum refiner used PAS Cyber Integrity® to improve OT cybersecurity. By automating asset inventory and vulnerability assessments, the company reduced manual processes, enhanced visibility into cyber risks and improved safety-ultimately saving millions in program costs. http://hydrocarbonprocessing.com/news/2024/11/akselos-expands-structural-performance-software-offering-for-hydrotreaters/ Akselos announced the expansion of its structural performance software offering for hydrotreaters in the refining and petrochemicals sector globally. http://hydrocarbonprocessing.com/magazine/2024/october-2024/digital-technologies/shape-the-future-of-sustainable-processing-with-advanced-analytics/ From the foundations of measuring emissions in real time, to forecasting the impact of each lever and automating reporting, digital technologies help processors track key sustainability metrics and overall progress in the journey to net-zero.  http://hydrocarbonprocessing.com/news/2024/11/adnoc-aiq-developing-first-of-a-kind-agentic-ai-solution-for-global-energy-transformation/ ENERGYai will combine large language model technology with cutting-edge ‘agentic’ AI – AI ‘agents’ that are trained in specific tasks across ADNOC’s value chain. These specialized AI agents bring a new level of autonomy and precision to critical tasks, from seismic analysis to energy efficiency and real-time process monitoring. http://hydrocarbonprocessing.com/news/2024/11/sponsored-content-demystifying-industrial-ai-agents-what-we-can-learn-from-iron-man/ An industrial agent is an agile and robust software entity that intelligently represents and manages the functionalities and capabilities of an industrial unit. This Digital Feature dives deep into industrial agents, and how they can be used to optimize plant operations. http://hydrocarbonprocessing.com/news/2024/10-1/bgen-signs-five-year-contract-with-ineos-op-uk/ BGEN has announced that it has signed a five-year contract with the petrochemical manufacturer INEOS O&P UK. BGEN will provide a range of services to help INEOS optimize plant efficiency at its site in Grangemouth, Stirlingshire. http://hydrocarbonprocessing.com/news/2024/10-1/digital-feature-wasco-s-energy-efficiency-roadmap-leveraging-software-and-ai-for-operational-excellence/ This case study details how WASCO introduced an innovative Energy Efficiency Roadmap that uses proprietary simulation software and artificial intelligence to address the critical challenges of operational costs and carbon emissions in an liquified petroleum gas plant. http://hydrocarbonprocessing.com/news/2024/10-1/seeq-aveva-partner-to-provide-best-in-class-enterprise-data-management-services-analytics-and-ai/ Seeq announced a strategic partnership with AVEVA. Core to the partnership is the native integration between the two companies’ platforms that will simplify access to operational data in context, enabling chemical, energy, metals, mining, and utility organizations to improve their operations and production outcomes. http://hydrocarbonprocessing.com/news/2024/10-1/digital-feature-delivering-the-next-generation-workforce-by-harnessing-ai-to-propel-chemical-engineering-into-the-future/ This article details the strategy behind a proprietary AI platform that empowers chemical industry SMEs like process operations, controls, engineering, and economics – a workforce that may not have traditional programming skills – to work with cutting edge AI algorithms.