Academic Scope
This sub-session focuses on downstream processing technologies, refining systems, and the digital transformation of oil and gas operations. As the energy industry increasingly adopts intelligent technologies, there are opportunities to improve operational efficiency, product quality, and process sustainability through advanced digital solutions.
The sub-session welcomes contributions on petroleum refining, petrochemical processing, process control, and production optimization. Research involving artificial intelligence, automation, industrial IoT, Big Data analytics, and predictive maintenance is particularly encouraged.
Studies demonstrating how digital technologies improve operational performance, reduce costs, increase reliability, and support smarter decision-making across downstream facilities are highly relevant. The session aims to foster innovation in modern processing systems and industrial digitalization.
Session Metadata
Target audience: Petroleum engineers and geoscientists Energy system engineers and infrastructure specialists Industry professionals and energy companies Policymakers and regulatory bodies Researchers and academic institutions Graduate students and early-career researchers
Recommended Contributions
Original research, case studies, applied methodological papers, and evidence-based perspectives aligned with the scope of this sub-session.
Author Guidance
Abstracts should be submitted in English (250–300 words), clearly linked to this sub-session code, and should state objective, methodology, key results, and relevance.
Review Fit
Submissions should demonstrate scientific relevance, originality, methodological quality, clarity, and alignment with the session theme.
Fees & Bank Transfer
Use the details below to transfer your registration fee. After transferring, log in and confirm the payment on your submission page — the secretariat will verify the receipt.
- Bank
- ГОЛОМТ
- Account #
47001 500 8115007020- Holder
- ШУТИС ГУУС
- Currency
- USD
