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.
The Author
Rafael Larraz is the Director of CEPSA Corporate Engineering and the Coordinator of the Oil Section at the Spanish Institute of Energy. Dr. Larraz Rafael holds an MS degree in environmental engineering from the University of Las Palmas de Gran Canaria in Spain, an Executive MBA from the IESE Business School of the University of Navarra, and a PhD in chemical engineering from the University of La Laguna in Spain.
Related Articles
- Modernizing legacy CO2 units: Retrofit lessons from a high-throughput ammonia plant
- Innovative in-situ batchwise/continuous regeneration scheme for high coke CCR reforming catalyst at the Saudi Aramco Jazan Refinery Complex
- Enhance plant performance and sustainability through activated carbon purification in gas sweetening: A Case Study
Comments