LAPSE:2025.0205
Published Article

LAPSE:2025.0205
Exploiting Operator Training Systems in chemical plants: learnings from industrial practice at BASF
June 27, 2025
Abstract
Demographic shifts and increased automation in chemical plants are reducing the experience and skill levels of plant operators. Therefore, BASF has implemented Operator Training Simulators (OTS) to allow operators to practice and improve their skills in this safe and controlled environment. The OTS consists of a dynamic model of the process, a control system and safety logics. This paper describes the learnings from using OTS at BASF, where they are used to train operators in process understanding, optimization, procedural training, and disturbance handling. Benefits include reduced training costs, minimized risks and improved efficiency. Also organizational guidelines are provided to ensure that the mentioned benefits are realized in industrial practice. Additionally, high-accuracy OTS models support HAZOP, debottlenecking, and optimization studies.
Demographic shifts and increased automation in chemical plants are reducing the experience and skill levels of plant operators. Therefore, BASF has implemented Operator Training Simulators (OTS) to allow operators to practice and improve their skills in this safe and controlled environment. The OTS consists of a dynamic model of the process, a control system and safety logics. This paper describes the learnings from using OTS at BASF, where they are used to train operators in process understanding, optimization, procedural training, and disturbance handling. Benefits include reduced training costs, minimized risks and improved efficiency. Also organizational guidelines are provided to ensure that the mentioned benefits are realized in industrial practice. Additionally, high-accuracy OTS models support HAZOP, debottlenecking, and optimization studies.
Record ID
Keywords
Digital Twin, Dynamic Modelling, Modelling and Simulations, Optimization, Simulation, Training Systems
Subject
Suggested Citation
Cuypers F, Boelen T, Logist F. Exploiting Operator Training Systems in chemical plants: learnings from industrial practice at BASF. Systems and Control Transactions 4:339-345 (2025) https://doi.org/10.69997/sct.152404
Author Affiliations
Cuypers F: BASF Antwerpen NV, Advanced Process Control, Antwerpen, Belgium
Boelen T: BASF Antwerpen NV, Advanced Process Control, Antwerpen, Belgium
Logist F: BASF Antwerpen NV, Advanced Process Control, Antwerpen, Belgium
Boelen T: BASF Antwerpen NV, Advanced Process Control, Antwerpen, Belgium
Logist F: BASF Antwerpen NV, Advanced Process Control, Antwerpen, Belgium
Journal Name
Systems and Control Transactions
Volume
4
First Page
339
Last Page
345
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 0339-0345-1644-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0205
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https://doi.org/10.69997/sct.152404
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[v1] (Original Submission)
Jun 27, 2025
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Jun 27, 2025
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http://psecommunity.org/LAPSE:2025.0205
Record Owner
PSE Press
Links to Related Works
References Cited
- DS Patle, Z Ahmad, GP Rangaiah. Operator training simulators in the chemical industry: review, issues, and future directions. Rev Chem Eng 30: 199-216 (2014) https://doi.org/10.1515/revce-2013-0027
- DS Patle, D Manca, N Salman, S Swapnil. Operator training simulators in virtual reality environment for process operators: a review. Virtual Reality 23: 293-311 (2018). http://dx.doi.org/10.1007/s10055-018-0354-3 https://doi.org/10.1007/s10055-018-0354-3
- R Kallakuri, PC Bahuguna. Role of Operator Training Simulators in Hydrocarbon Industry - a Review. Int J Sim Mod 20: 649-660 (2021) https://doi.org/10.2507/IJSIMM20-4-575
- G Yang, Z Xu, Z Shao, H Liao, M Yu. Dynamic load change operation education in air separation processes using a multivariable and nonlinear model. J Proc Control 116: 93-113 (2022) https://doi.org/10.1016/j.jprocont.2022.05.009

