Neural network-based identification of SMB chromatographic processes

Chao-yong, Wang; Klatt, Karsten‐Ulrich; Dünnebier, Guido; Engell, Sebastian; Hanisch, Felix

doi:10.1016/s0967-0661(02)00212-5

Cited by 53 publications

(23 citation statements)

References 13 publications

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“…A análise dos fluídos produzidos por um poço petrolífero é realizada em laboratório, obtendo-se assim a tabela PVT. Na ausência de valores encontrados em laboratório, diversos programas computacionais aproximam razoavelmente estes valores a partir dos intervalos prédeterminados de pressão, temperatura e densidade dos fluidos produzidos [1] [4] [6].…”

Section: Metodologiaunclassified

Intelligent Analysis Program Applied to Production Logs in Oil and Gas Wells

Silva

Costa

Barreiros

2006

IEEE Latin Am. Trans.

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Basic Production Logging can be interpreted in intermittent wells using the intelligent analysis program presents in this work, called PAINTWELL, which permits to use of same string configuration than a conventional Production Logging. This program can be performed in layered reservoir, determining the flowrate and type of the fluid for each production zone. The use of Artificial Neural Network as integrated part of this analysis program, provides a powerful tool to describe how downhole logging and advances in computer processing & interpretation data could spearhead the transformation that can take place in production logging with use of this new technique. This methodology should aid the production and reservoir engineering to solve recovery problems during the well life. The results of the production log using the PAINTWELL method is very similar to measurements using test separator in production facilities for each single perforated interval. This program was applied successfully for a typical intermittent well, which produces oil with high water cut using a gas-lift completion system.

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Section: Metodologiaunclassified

Intelligent Analysis Program Applied to Production Logs in Oil and Gas Wells

Silva

Costa

Barreiros

2006

IEEE Latin Am. Trans.

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“…Erste Beiträge zur Regelung von SMB-Anlagen unter Verwendung von vereinfachten Prozessmodellen sind in [6] sowie in [7] und [8] …”

Section: Introductionunclassified

Ein Adaptiver Regler zur Einstellung der Abzugsreinheiten von SMB-AnlagenAn Adaptive Controller to Regulate the Drain Purities of SMB-plants

Fütterer¹

2009

At - Automatisierungstechnik

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Die Simulated Moving Bed (SMB) Technologie ist ein bedeutender Trennprozess in der Verfahrenstechnik. Chromatographische Säulen werden zu einem Ring verschaltet und die Zuund Abflüsse zyklisch so verändert, dass eine kontinuierliche Trennung eines binären Stoffgemisches möglich ist. Der Prozess reagiert empfindlich gegenüber Parameterunsicherheiten und Störungen in den Volumenströmen. Aus diesem Grund wird ein adaptiver Regler vorgeschlagen, welcher für die gewünschten Abzugsreinheiten die notwendigen Stellgrößen automatisch ermittelt. Dieser Regler basiert auf einem einfachen Modell für die Bewegung der Fußpunkte der Konzentrationsfronten und ist wegen seiner relativ einfachen Struktur speziell für den industriellen Einsatz geeignet.Simulated Moving Bed (SMB) chromatography is an established separation technology, where chromatographic columns are interconnected to a ring. The feedings and drains are changed cyclically such that a continuous separation is maintained. To overcome the sensitiveness to parameter uncertainties and disturbances within the volumetric flow rates an adaptive controller is suggested. Only little process information is necessary to regulate the desired purities at the drains.Schlagwörter: Simulated moving bed, SMB, adaptive Regelung

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“…Several approaches have been proposed. [3][4][5][6][7][8][9][10][11][12][13][14][15][16] A detailed review of these different control schemes may be found in the literature. 17,18 In general, the drawback of these approaches is the need for accurate data about the system.…”

Section: Introductionmentioning

confidence: 99%

‘Cycle to cycle’ optimizing control of simulated moving beds

Grossmann¹,

Amanullah²,

Erdem³

et al. 2007

AIChE Journal

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in Wiley InterScience (www.interscience.wiley.com).The novel feature of the presented simulated moving bed (SMB) controller is its capability to make use of the average outlet concentration of the product streams over a cycle as feedback information, i.e., 'cycle to cycle' control. Its effectiveness is confirmed experimentally on an eight-column four-section laboratory SMB unit, which is used to separate a binary mixture of the nucleosides, uridine and guanosine. The performance of the 'cycle to cycle' SMB control scheme is also demonstrated by several SMB simulation runs that are chosen to test the robustness of the controller. Furthermore, the case where measurements have a time delay is presented. The results illustrate that the 'cycle to cycle' controller is able to meet the products' purity specifications and operate the process optimally with minimal information about the system regardless of the disturbances that might take place during the operation.Note that Y k contains the concentrations of both species for every time step n 5 0, . . ., N 2 1 of cycle k. Figure 4. Performance of the controller on the laboratory SMB plant for case studies 1 and 2. Outlet purities and cost function vs. time measured in cycles. Feed pump delivers 10% more than its set point after cycle 70. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

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Neural network-based identification of SMB chromatographic processes

Cited by 53 publications

References 13 publications

Intelligent Analysis Program Applied to Production Logs in Oil and Gas Wells

Intelligent Analysis Program Applied to Production Logs in Oil and Gas Wells

Ein Adaptiver Regler zur Einstellung der Abzugsreinheiten von SMB-AnlagenAn Adaptive Controller to Regulate the Drain Purities of SMB-plants

‘Cycle to cycle’ optimizing control of simulated moving beds

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