Data Reconciliation and Gross Error Detection of a Refinery Process


Client: Research Institute of Petroleum Industry

Date: 2009-2010

Director project: Dr. Babak Tavassoli

Project type: Simulation study

Project collaborator: K.N. Tossi University of Technology (KNTU)

Summary of project:

This project was a part of a larger collaborative research on real-time optimization (RTO) of a Hydrodesulphurization (HDS) plant. An RTO system optimized the plant performance by adjusting the setpoints of the closed loop controller in real-time, i.e. during the operation of the plant. For this purpose, it is required to provide high-quality data for the online model-based optimization. A way of improving the measurement quality is a correction of the measurement errors based on the available physical model of the plant. This process is known as model-based data reconciliation. Additionally, the plant model can be used to detect gross errors (large errors due to measurement failures).

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