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HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS

With the increase of marginal fields and deepwater offshore fields in the petroleum industry, the demand for continuous and cost-effective multiphase flow monitoring becomes increasingly significant for reservoir management, operational diagnosis, and well-level production optimization. Virtual f...

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Main Author: AZIZ HASAN, TAREQ AL-QUTAMI
Format: Thesis
Language:English
Published: 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/21988/1/2017%20-%20ELECTRICAL%20%26%20ELECTRONIC%20-%20HETROGENEOUS%20ENSEMBLE%20LEARNING%20FOR%20VIRTUAL%20FLOW%20METERING%20APPLICATIONS%20-%20TAREQ%20AZIZ%20HASAN%20AL-QUTAMI.pdf
http://utpedia.utp.edu.my/21988/
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spelling my-utp-utpedia.219882021-09-29T09:33:24Z http://utpedia.utp.edu.my/21988/ HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS AZIZ HASAN, TAREQ AL-QUTAMI TK Electrical engineering. Electronics Nuclear engineering With the increase of marginal fields and deepwater offshore fields in the petroleum industry, the demand for continuous and cost-effective multiphase flow monitoring becomes increasingly significant for reservoir management, operational diagnosis, and well-level production optimization. Virtual flow metering (VFM) is a software-based computational model that represents an attractive solution to meet these rising demands and accomplish fully integrated operations. VFM also plays a significant role in augmenting and backing up physical multiphase flow meters. However, mode-driven VFMs are difficult to deploy and very expensive to maintain, while current data-driven VFM studies are limited, suffer inherent limitations, and do not deliver performance analysis over the complete operating envelope. 2017-09 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21988/1/2017%20-%20ELECTRICAL%20%26%20ELECTRONIC%20-%20HETROGENEOUS%20ENSEMBLE%20LEARNING%20FOR%20VIRTUAL%20FLOW%20METERING%20APPLICATIONS%20-%20TAREQ%20AZIZ%20HASAN%20AL-QUTAMI.pdf AZIZ HASAN, TAREQ AL-QUTAMI (2017) HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
AZIZ HASAN, TAREQ AL-QUTAMI
HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS
description With the increase of marginal fields and deepwater offshore fields in the petroleum industry, the demand for continuous and cost-effective multiphase flow monitoring becomes increasingly significant for reservoir management, operational diagnosis, and well-level production optimization. Virtual flow metering (VFM) is a software-based computational model that represents an attractive solution to meet these rising demands and accomplish fully integrated operations. VFM also plays a significant role in augmenting and backing up physical multiphase flow meters. However, mode-driven VFMs are difficult to deploy and very expensive to maintain, while current data-driven VFM studies are limited, suffer inherent limitations, and do not deliver performance analysis over the complete operating envelope.
format Thesis
author AZIZ HASAN, TAREQ AL-QUTAMI
author_facet AZIZ HASAN, TAREQ AL-QUTAMI
author_sort AZIZ HASAN, TAREQ AL-QUTAMI
title HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS
title_short HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS
title_full HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS
title_fullStr HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS
title_full_unstemmed HETEROGENEOUS ENSEMBLE LEARNING FOR VIRTUAL FLOW METERING APPLICATIONS
title_sort heterogeneous ensemble learning for virtual flow metering applications
publishDate 2017
url http://utpedia.utp.edu.my/21988/1/2017%20-%20ELECTRICAL%20%26%20ELECTRONIC%20-%20HETROGENEOUS%20ENSEMBLE%20LEARNING%20FOR%20VIRTUAL%20FLOW%20METERING%20APPLICATIONS%20-%20TAREQ%20AZIZ%20HASAN%20AL-QUTAMI.pdf
http://utpedia.utp.edu.my/21988/
_version_ 1739832936786558976
score 13.19449

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