ABNORMAL SITUATION PREVENTION IN A COKER HEATER

摘要

A system and method to facilitate the monitoring and diagnosis of a process control system and any elements thereof is disclosed with a specific premise of abnormal situation prevention in a coker heater of a coker unit in a product refining process. Monitoring and diagnosis of faults in a coker heater includes statistical analysis techniques, such as regression. In particular, on-line process data is collected from an operating coker heater in a coker area of a refinery. A statistical analysis is used to develop a regression model of the process. The output may use a variety of parameters from the model and may include normalized process variables based on the training data, and process variable limits or model components. Each of the outputs may be used to generate visualizations for process monitoring and diagnostics and perform alarm diagnostics to detect abnormal situations in the process.