Controlled Inline Fluid Separation Based on Smart Process Tomography Sensors

Benjamin Sahovic*, Hanane Atmani, Muhammad Awais A. Sattar, Matheus Martinez Garcia, Eckhart Schleicher, Dominique Legendre, Eric Climent, Annaig Pedrono, Luis M. Portela, More Authors

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)
73 Downloads (Pure)


Today's mechanical fluid separators in industry are mostly operated without any control to maintain efficient separation for varying inlet conditions. Controlling inline fluid separators, on the other hand, is challenging since the process is very fast and measurements in the multiphase stream are difficult as conventional sensors typically fail here. With recent improvement of process tomography sensors and increased processing power of smart computers, such sensors can now be potentially used in inline fluid separation. Concepts for tomography-controlled inline fluid separation were developed, comprising electrical tomography and wire-mesh sensors, fast and massive data processing and appropriate process control strategy. Solutions and ideas presented in this paper base on process models derived from theoretical investigation, numerical simulations and analysis of experimental data.

Original languageEnglish
Pages (from-to)554-563
Number of pages10
Issue number5
Publication statusPublished - 2020


  • CFD simulation
  • Control systems
  • Electrical tomography
  • Inline fluid separation
  • Wire-mesh sensor


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