ABC-ANFIS-CTF: A Method for Diagnosis and Prediction of Coking Degree of Ethylene Cracking Furnace Tube

Abstract

The carburizing and coking of ethylene cracking furnace tubes are the important factors that affect the energy efficiency of ethylene production. To realize the diagnosis and prediction of the different coking degrees of cracking furnace tubes, and then take corresponding treatment measures, is of great significance for improving ethylene production and prolonging the service life of the furnace tube. Therefore, a fusion diagnosis and prediction method based on artificial bee colony (ABC) and adaptive neural fuzzy inference system (ANFIS) is proposed, which also introduces a coking-time factor (CTF). The actual data verification shows that the method not only improves the training efficiency and diagnosis accuracy of the coking diagnosis and inference system of the cracking furnace tube, but also realizes the prediction of the development trend of the coking degree of the furnace tube.

Design of a Neuro‐Based Computing Paradigm for Simulation of Industrial Olefin Plants

“…In another research, a smart model based on an adaptive neural fuzzy inference system and artificial bee colony for prediction of a coking time factor was developed by Peng et al [20]. Multiple linear regression, ANNs, and genetic programming were utilized by Azarhoosh et al to evaluate conversion and selectivity of a nano-hierarchical, silico-alumino-phosphate-34 catalyst [21] under the effects of the main influential parameters such as ultrasonic irradiation, crystallization time, ultrasonic intensity, and the amount of organic template.…”

“…In another research, a smart model based on an adaptive neural fuzzy inference system and artificial bee colony for prediction of a coking time factor was developed by Peng et al. 20. Multiple linear regression, ANNs, and genetic programming were utilized by Azarhoosh et al.…”

Ethylene Yield from Pyrolysis Cracking in Olefin Plant Utilizing Regression Analysis

“…The mixture of air and steam is utilized to perform decoke activity according to the scheduled cycle to ensure continuous ethylene production [16] and sustainable normal cracking conditions [17] for the furnaces. Obtaining safe and stable operation including during the decoke cycle is one of the keys to ensure an excellent generation of ethylene yield in the steam cracker furnace [18,19].…”

Propylene Yield from Olefin Plant Utilizing Box-Cox Transformation in Regression Analysis

“…Olefin plant producing ethylene and propylene utilizing thermal cracking is often defined as the core of petrochemical manufacturing [7,8] due to its significant impact on the industry. The furnace is the primary equipment in the olefin production industry [9] where its safe and stable operation is essential [10,11] to determine the yield and quality of olefin [12] produced Fig. 1 shows the configuration of the steam cracker furnace in the studied plant while Table 1 shows the naphtha feed specification utilized in the steam cracker furnace during the study.…”