Integration of Advanced Process Engineering and Control in Petroleum Refining

  • Sargam Saxena Chandigarh College of Engineering and Technology Diploma Wing, Chandigarh.

Abstract

The integration of advanced process engineering and control represents a pivotal shift in the landscape of petroleum refining, converging cutting-edge engineering methodologies with sophisticated control systems to revolutionize operational efficiency and sustainability. This review explores the symbiotic relationship between these disciplines, highlighting their role in optimizing refinery processes, enhancing product quality, and navigating evolving market dynamics and regulatory frameworks. Advanced process engineering leverages computational models, optimization techniques, and data analytics to dissect and optimize unit operations, while advanced control systems, notably model predictive control, real-time optimization, and adaptive control, ensure precise and agile orchestration of refining processes. The integration creates a closed-loop system where engineering models inform real-time control actions, fostering proactive responses to fluctuations, disturbances, and environmental imperatives. Challenges such as complexity, skill gaps, cybersecurity risks, and compliance are addressed, paving the way for future directions. These encompass AI advancements, digital twins, autonomous operations, green technology integration, workforce development, and industry collaboration. Such advancements promise refineries greater efficiency, sustainability, and innovation, positioning them at the forefront of a resilient energy future. As refineries embrace this integration, they fortify their positions as pioneers in efficiency, sustainability, and adaptability, charting a course towards a future where operational excellence converges seamlessly with environmental stewardship and innovation

References

1. Smith, J. R., & Johnson, A. (2019). “Integration of Advanced Process Engineering and Control in Petroleum
Refining.” Journal of Refining Technology, 23(4), 112- 129.
2. Chen, L., & Wang, Q. (2020). “Model Predictive Control Applications in Petroleum Refining: A Review.” Chemical Engineering Research and Design, 140, 50-68. doi:10.1016/j.cherd.2020.05.001
3. Brown, T., & Davis, R. (2018). “Optimization Strategies for Petroleum Refining: A Comprehensive Review.”
Industrial Engineering Journal, 12(3), 75-89.
4. Kim, S., & Lee, H. (2019). “Real-Time Optimization Techniques in Refinery Operations.” Journal of Process Control, 35, 112-125. doi:10.1016/j. jprocont.2018.12.009
5. Garcia, M., & Lopez, A. (2021). “Challenges and Opportunities in Integrating Advanced Engineering and Control in Refineries.” Energy and Environmental Engineering Journal, 8(2), 210-225. doi:10.1016/j.
eeej.2020.11.00
6. Patel, K., & Gupta, S. (2017). “Advancements in Digital Twins for Petroleum Refining.” Automation and Control
Engineering Review, 5(4), 300-315.
7. Wang, Y., & Zhang, L. (2019). “Advanced Process control Strategies for Sustainable Refinery Operations.”
Sustainable Energy Reviews, 25, 450-465. doi:10.1016/j. ser.2018.12.003
8. Li, J., & Wu, H. (2018). “Data-Driven Approaches for Predictive Maintenance in Petroleum Refineries.” IEEE
Transactions on Industrial Informatics, 14(3), 1001- 1012.
9. International Energy Agency. (2020). “Oil Refining 2020: Analytical Overview.” Paris: IEA Publications.
10. United Nations Environmental Programme. (2019). “Sustainable Practices in Petroleum Refining: A
Published
2024-05-24
How to Cite
SAXENA, Sargam. Integration of Advanced Process Engineering and Control in Petroleum Refining. Journal of Advanced Research in Petroleum Technology & Management, [S.l.], v. 9, n. 3&4, p. 14-19, may 2024. ISSN 2455-9180. Available at: <http://thejournalshouse.com/index.php/petroleum-tech-mngmt-adr-journal/article/view/1102>. Date accessed: 26 apr. 2025.