The book, titled Artificial Intelligence and Generative Artificial
Intelligence in the Petrochemical Industry, presents a forward-looking
assessment of how emerging digital technologies could reshape production
structures, value chains and competitiveness in the industry.
Written by Seyedreza Hosseini, the work examines the pressures facing
petrochemical producers, including resource constraints, persistent global
oversupply, tightening regulatory requirements and the growing need for
efficiency, innovation and sustainability.
According to the report, the author argues that traditional
value-creation models based primarily on geographic advantages and access to
low-cost feedstock are gradually giving way to more circular, digital and
resilient systems aligned with shifting market dynamics.
The book explores a range of AI-driven applications, including
uncertainty management, market forecasting, development of new chemical
compounds, predictive maintenance, supply chain optimisation, real-time
monitoring and operational efficiency improvements.
It also reviews cost structures, value-generation mechanisms and
strategic responses to anticipated challenges, while addressing structural
barriers within Iran’s petrochemical industry and outlining potential policy
and technology-based solutions.
The publication was released by Zarnavesht Publications and is aimed
at industry executives, engineers, researchers, policymakers, investors and
students.
The report said the book frames AI adoption as a strategic necessity
for long-term competitiveness rather than a discretionary technological
upgrade.