A multisensor intelligent device for real-time multiphase flow metering in oil fields

Mahmoud Meribout, Nabeel Z. Al-Rawahi, Ahmed M. Al-Naamany, Ali Al-Bimani, Khamis Al-Busaidi, Adel Meribout

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

In this paper, a new multiphase flow metering device for real-time measurement of oil, gas, and water flow rates is presented. It is composed of several electrical and acoustic sensors whose signals are digitalized and processed by a multilayer neural network. This latest uses the physical models of multiphase fluids to reduce the complexity of the parameter space while improving its accuracy. Furthermore, to overcome the uncertainties of the electrical sensors in the range of 40%-60% and above 90% water-cut (i.e., ranges where most of the multiphase flow meter fail), two rings of high- and low-frequency ultrasonic sensors are used for low and high gas fractions, respectively. The results of experiments that have been conducted in an in-house laboratory-scale multiphase flow loop show that real-time classification for up to 90% gas fraction can be achieved with less than 10% relative error.

Original languageEnglish
Article number5263016
Pages (from-to)1507-1519
Number of pages13
JournalIEEE Transactions on Instrumentation and Measurement
Volume59
Issue number6
DOIs
Publication statusPublished - Jun 2010

Keywords

  • Artificial intelligence
  • Capacitance and conductance probes
  • Embedded systems design
  • Gas flow rate measurement
  • Multiphase flow metering
  • Neural network
  • Ultrasonic waves
  • Water-cut measurement

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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