LAPSE:2026.0516v1
Published Article
LAPSE:2026.0516v1
Data Reconciliation for Inventory Monitoring in a Petrol Refinery
June 12, 2026
Abstract
We study a data reconciliation problem in a petrol refinery. The problem is to reconcile inventory and flow measurements to estimate true values of measured and unmeasured flows respecting the mass conservation. The problem is formulated as a mixed-integer quadratic program (MIQP). Upon successful problem resolution, a neural network (NN) is trained to mimic the MIQP solver to study potential improvements in CPU time without compromising the solution quality. The results show a significant improvement in refinery monitoring and feasibility of NN-based reconciliation.
We study a data reconciliation problem in a petrol refinery. The problem is to reconcile inventory and flow measurements to estimate true values of measured and unmeasured flows respecting the mass conservation. The problem is formulated as a mixed-integer quadratic program (MIQP). Upon successful problem resolution, a neural network (NN) is trained to mimic the MIQP solver to study potential improvements in CPU time without compromising the solution quality. The results show a significant improvement in refinery monitoring and feasibility of NN-based reconciliation.
Record ID
Keywords
data reconciliation, neural networks, oil refinery, optimization
Subject
Suggested Citation
Gaborcík J, Lubušký K, Paulen R. Data Reconciliation for Inventory Monitoring in a Petrol Refinery. Systems and Control Transactions 5:2505-2510 (2026) https://doi.org/10.69997/sct.181246
Author Affiliations
Gaborcík J: Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia
Lubušký K: Slovnaft, a.s., Bratislava, Slovakia
Paulen R: Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia [ORCID]
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Lubušký K: Slovnaft, a.s., Bratislava, Slovakia
Paulen R: Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia [ORCID]
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Journal Name
Systems and Control Transactions
Volume
5
First Page
2505
Last Page
2510
Year
2026
Publication Date
2026-06-12
Version Comments
Original Submission
Other Meta
PII: 2505-2510-337-SCT-5-2026, Publication Type: Journal Article
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LAPSE:2026.0516v1
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https://doi.org/10.69997/sct.181246
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Jun 12, 2026
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Links to Related Works
References Cited
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