Oil Height Determination From Capacitance Tomography Measurements Using Neural Network.

This paper presents a "direct" method to gas-oil interface level determination using an artificial neural network approach based on Electrical Capacitance Tomography (ECT) measurements. "Direct" here means that the gas-oil interface levels are obtained directly from the ECT measu...

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Main Authors: Mohamad-Saleh, J, Abdul-Salam, R.
Format: Conference or Workshop Item
Language:English
Published: 2004
Subjects:
Online Access:http://eprints.usm.my/8615/
http://eprints.usm.my/8615/1/Oil_Height_Determination_from_Capacitance_Tomography_Measurements_Using_Neural_%28PPKEElektronik%29_2005.pdf
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author Mohamad-Saleh, J
Abdul-Salam, R.
author_facet Mohamad-Saleh, J
Abdul-Salam, R.
author_sort Mohamad-Saleh, J
building USM Institutional Repository
collection Online Access
description This paper presents a "direct" method to gas-oil interface level determination using an artificial neural network approach based on Electrical Capacitance Tomography (ECT) measurements. "Direct" here means that the gas-oil interface levels are obtained directly from the ECT measurements without recourse to image reconstruction. The preliminary work models a separation tank that is filled with gas and oil.
first_indexed 2025-11-15T15:25:39Z
format Conference or Workshop Item
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:25:39Z
publishDate 2004
recordtype eprints
repository_type Digital Repository
spelling usm-86152017-11-20T07:22:10Z http://eprints.usm.my/8615/ Oil Height Determination From Capacitance Tomography Measurements Using Neural Network. Mohamad-Saleh, J Abdul-Salam, R. TK1-9971 Electrical engineering. Electronics. Nuclear engineering This paper presents a "direct" method to gas-oil interface level determination using an artificial neural network approach based on Electrical Capacitance Tomography (ECT) measurements. "Direct" here means that the gas-oil interface levels are obtained directly from the ECT measurements without recourse to image reconstruction. The preliminary work models a separation tank that is filled with gas and oil. 2004 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/8615/1/Oil_Height_Determination_from_Capacitance_Tomography_Measurements_Using_Neural_%28PPKEElektronik%29_2005.pdf Mohamad-Saleh, J and Abdul-Salam, R. (2004) Oil Height Determination From Capacitance Tomography Measurements Using Neural Network. In: ACIT'2004 - 5th International Arab Conference on Information Technology, 2004.
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Mohamad-Saleh, J
Abdul-Salam, R.
Oil Height Determination From Capacitance Tomography Measurements Using Neural Network.
title Oil Height Determination From Capacitance Tomography Measurements Using Neural Network.
title_full Oil Height Determination From Capacitance Tomography Measurements Using Neural Network.
title_fullStr Oil Height Determination From Capacitance Tomography Measurements Using Neural Network.
title_full_unstemmed Oil Height Determination From Capacitance Tomography Measurements Using Neural Network.
title_short Oil Height Determination From Capacitance Tomography Measurements Using Neural Network.
title_sort oil height determination from capacitance tomography measurements using neural network.
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/8615/
http://eprints.usm.my/8615/1/Oil_Height_Determination_from_Capacitance_Tomography_Measurements_Using_Neural_%28PPKEElektronik%29_2005.pdf