Numerical approach to data processing for gamma scans: A case study of naphtha splitter column

This paper presents a numerical approach to data processing for gamma scanning in distillation columns. A numerical algorithm is developed and implemented in a programming code to detect the presence of column malfunctions. Raw data are segmented and evaluated separately according to the number of trays inside the column. For each tray, data are divided into 4 sections: section above tray (AT), section tray (T), section below tray (BT) and section in between tray (IBT), with each section, is tested with different conditions. Results from the tests will determine the state of the trays. If the conditions of all tests are satisfied, then the algorithm will output the tray’s status as ‘Normal’, whereas if there is any condition that is not satisfied, the algorithm will detect it as ‘Abnormal’. This direct method is proposed for the sake of algorithm simplification. Despite its simplicity, the algorithm is proved to generate a satisfactory result in detecting the presence of tray malfunctions.