http://www.hydrocarbonprocessing.com Hydrocarbon Processing http://admin.hydrocarbonprocessing.com/news/2024/11/wglc-innovating-ai-adoption/ Holding consistent with many conference discussions in 2024, the Women’s Global Leadership Conference also tackled AI implementation. In fact, the first day of the Nov. 19-20 conference did one better, featuring multiple panels on the topic and discussing how female leaders can make strides with this new technology. http://admin.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://admin.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://admin.hydrocarbonprocessing.com/magazine/2024/october-2024/refining-technologies/prompt-engineering-extracting-operational-excellence-knowledge-from-ai-part-2/ Prompt engineering elaborates precise instructions to guide large language models towards generating specific, desired outputs, and offers significant potential for optimizing processes, solving complex problems and improving operational efficiency in refineries and petrochemical plants. In Part 2, the practical applications of these advanced prompt engineering techniques in various aspects of refinery operations will be explored. Examples include key areas where RAG implementation with specific plant information would be highly beneficial.  http://admin.hydrocarbonprocessing.com/news/2024/10-1/eschbach-launches-shiftconnector-smart-solutions-for-ai-driven-knowledge-harvesting/ Global software developer eschbach, the provider of the Shiftconnector® enterprise manufacturing platform for the process industry, has launched its Shiftconnector® Smart Solutions. http://admin.hydrocarbonprocessing.com/news/2024/10-1/honeywell-and-chevron-collaborate-on-ai-assisted-solutions-for-refining-processes/ Honeywell has begun a strategic collaboration with Chevron to develop advanced artificial intelligence (AI)-assisted solutions to help operators make decisions to enhance efficiency for refining processes and improve safety within the industrial automation space. http://admin.hydrocarbonprocessing.com/magazine/2024/september-2024/special-focus-refining-technologies/deliver-sustainable-benefits-through-site-wide-process-digital-twins/ Refiners have used offline process models for decades. The next generation of solutions is anticipated to operate automatically, integrate with legacy systems and provide transparency site-wide.   http://admin.hydrocarbonprocessing.com/magazine/2024/september-2024/special-focus-refining-technologies/prompt-engineering-extracting-operational-excellence-knowledge-from-ai-part-1/ Prompt engineering is an emerging discipline at the intersection of AI and process engineering and will undoubtedly contribute to the hydrocarbon and green molecules processing industries. Parts 1 and 2 (October 2024) of this article explore and provide a glimpse of how this technique can help process engineers and operators to manage the power of advanced AI models to optimize processes, contribute to solve complex problems, and improve operational efficiency in refineries and petrochemical plants.   http://admin.hydrocarbonprocessing.com/magazine/2024/september-2024/maintenance-reliability-and-inspection/monitoring-cyclone-reliability-in-fluid-catalytic-crackers/ The authors’ company has developed a novel approach with a digital algorithm to effectively estimate the current cyclone erosion and predict future erosion based on operating conditions. With this approach, refiners get an automatic way to better predict abrasion lining erosion for both reactors and regenerator cyclones daily from digital analytics, thus helping refiners quantify their monitoring. http://admin.hydrocarbonprocessing.com/news/2024/08/adnoc-deploys-pioneering-ai-enabled-process-optimization-technology/ Following successful initial operations, ADNOC announced the deployment of an industry leading artificial intelligence (AI)-enabled process optimization technology--Neuron 5--across all ADNOC facilities across thousands of critical pieces of equipment essential for production, including compressors, valves and generators.