The petroleum refining industry stands at a critical juncture in its evolution. After more than a century of technological advancement, the sector faces unprecedented pressure to reimagine its operations in response to climate change imperatives, market transformations, and societal expectations. This transformation requires a shift in how fuels and chemicals are produced.

At the same time, the revolution in artificial intelligence through the development of Large Language Models (LLMs) that are trained on vast amounts of data, allows remarkable capabilities in knowledge integration and problem-solving across diverse domains. The emergence of sophisticated prompt engineering has transformed these models from research artifacts into practical tools for addressing complex industrial challenges.

This book explores the convergence of these two transformative forces: the imperative to reimagine industrial hydrocarbon processing and the emergence of AI systems capable of supporting that reimagination. It examines how LLMs, when properly directed, can accelerate the transition toward more sustainable refining technologies by enabling more efficient knowledge synthesis, system design optimization, and innovation across disciplinary boundaries.

Develops an approach to prompt engineering that is tailored for engineering and industrial applications Describes patterns of innovations in petroleum refining which can help address contemporary transformation challenges Provides an assessment of the potential and limitations of AI-assisted design for industrial transformation

Autorentext

**Rafael Larraz **is an senior consultant and energy sector executive with over 35 years at CEPSA (now Moeve), where he served as Director of Engineering, Director of R&D and Director of the Innovation Center. He is Coordinator of the Energy Business Master at the Club Español de la Energía. Dr. Larraz holds an MS in Environmental Engineering from the University of Las Palmas de Gran Canaria, an Executive MBA from IESE Business School, and a PhD in Chemical Engineering from the University of La Laguna. He also holds several patent and has published scientific papers on refining technology, biofuels and process simulation.

Inhalt

The Convergence of Artificial Intelligence and Industrial Transformation.- Architecture and Functioning of LLMs.- Technological Advances in Refining: Evolution and Innovation Towards Net Zero Refineries.- Principles and Applications of Prompt Engineering for Industrial Systems.- Prompting Net Zero Refinery Design.- Conclusions - Bridging Historical Innovation and Future.