Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/2525
Title: Modelling simulation and optimization of dehydration and desalting process
Authors: Yusuf, Tarique Mohammad
Keywords: Dehydration Process
Desalting Process
Chemical Engineering
Artificial Neural Network
Issue Date: Jun-2014
Publisher: UPES
Citation: Panday, Ashutosh , Gupta, D. K. & Al-Otaibi, Musleh B.
Abstract: The trigger for this research was to develop process model for Dehydration and Desalting Process (DDP) that may be used at oilfield plant to simulate various operating scenarios in order to support decisions for optimizing plant’s operation. For building such model, I have utilized the concept of Artificial Neural Network (ANN). This technique allows to correlate performance of a process with various process parameters of interest, in a generalized manner, through black-box modelling, which otherwise could be complex and specific to a particular equipment design if first-principles model is built. Further, to reap the benefit of ANN model’s generalization capability, to extend its application beyond modelling DDP, and to maximize its versatility and outreach, I implemented the ANN model in MS Excel. Thus, I achieved a versatile process model (named VP Model), that is, a modelling framework which may be populated, trained, tested and used as a model-based decision support tool at any plant where large amount of data is present.
URI: http://hdl.handle.net/123456789/2525
Appears in Collections:Thesis

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01_titlepage.pdfTitle29.87 kBAdobe PDFView/Open
02_declaration.pdfDeclaration32.55 kBAdobe PDFView/Open
03_certificate.pdfCertificate44.55 kBAdobe PDFView/Open
04_acknowledgement.pdfAcknowledgement20.99 kBAdobe PDFView/Open
05_summary.pdfSummary91.9 kBAdobe PDFView/Open
06_contents.pdfContents23.4 kBAdobe PDFView/Open
07_list of figures.pdfList of Figures21.01 kBAdobe PDFView/Open
08_list of tables.pdfList of Tables15.95 kBAdobe PDFView/Open
09_list of abbreviation.pdfList of Abbreviations18.05 kBAdobe PDFView/Open
10_chapter1.pdfChapter 1283.52 kBAdobe PDFView/Open
11_chapter2.pdfChapter 2132.37 kBAdobe PDFView/Open
12_chapter3.pdfChapter 3107.64 kBAdobe PDFView/Open
15_chapter4.pdfChapter 41 MBAdobe PDFView/Open
16_chapter5.pdfChapter 5330.9 kBAdobe PDFView/Open
17_chapter6.pdfChapter 6100.48 kBAdobe PDFView/Open
18_references.pdfReferences69.74 kBAdobe PDFView/Open
19_appendix.pdfAppendices1.09 MBAdobe PDFView/Open


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