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Computational method for multiphase flow characterization in the gas refinery.

Abolfazl Varvani Farahani1, Mohsen Montazeri1

  • 1Department of Electrical Engineering, Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran.

Heliyon
|January 30, 2020
PubMed
Summary
This summary is machine-generated.

A new computational method precisely estimates multiphase flow states in gas refineries by analyzing interconnections between gas and condensate subsystems. This approach ensures system stability and accurate parameter estimation for improved process control.

Keywords:
Computational fluid dynamicsCondensate and gasControl systemsDecentralized measurement systemMean value theoremMulti-phase flowNonlinear control systemNonlinear observerPetroleum engineeringPetroleum industrySoft computingSoft sensorUnscented Kalman filter

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Area of Science:

  • Chemical Engineering
  • Control Systems Engineering
  • Process Measurement

Background:

  • Accurate multiphase flow measurement is critical for efficient gas refinery operations.
  • Decentralized systems require robust state estimation techniques.
  • Existing methods may face challenges in complex, interconnected subsystems.

Purpose of the Study:

  • To develop and validate a novel computational method for decentralized multiphase flow measurement.
  • To precisely estimate the states of gas and condensate subsystems in a refinery setting.
  • To assess the stability and performance of the proposed estimation method.

Main Methods:

  • Utilized the Differential Mean Value Theorem for state estimation of interconnected subsystems.
  • Designed an observer and converted system conditions to linear matrix inequality.
  • Applied Lyapunov theory to verify system stability and performance.
  • Employed the Unscented Kalman Filter with a simplified drift flux model for state estimation.

Main Results:

  • Both developed observers demonstrated capability in identifying multiphase flow states.
  • The Unscented Kalman Filter based on the simplified drift flux model proved sufficient for parameter and state estimation.
  • System stability and performance were validated under various conditions, including disturbances.

Conclusions:

  • The proposed computational method offers a precise approach to decentralized multiphase flow measurement.
  • The simplified drift flux model is adequate for state and parameter estimation in this context.
  • The study confirms the effectiveness of observer-based methods for enhancing refinery process control.