Superintelligence Series Volume 3: Intelligent automation, AI systems, and digital engineering in oil–gas–chemical industries

Overview & Synopsis

Explores how next-generation intelligent systems are transforming industrial engineering through emerging digital and data-driven technologies. The contributions examine digital twins, smart automation, industrial robotics, predictive analytics, and AI-based optimization as drivers of change in production environments and organizational decision-making. Several chapters focus on cyber–physical systems and data-centered architectures that support real-time monitoring, simulation, and control, while others address the integration of machine learning, IoT, and advanced robotics in modern industry. Sustainability remains a recurring concern, with attention to energy use, resource management, and environmentally responsible production. Combining conceptual analysis with applied case studies, the work offers researchers and practitioners a clear view of adaptive and forward-looking industrial systems.