Mat-Dan, A. A. and Mohamad-Saleh, J and Ahmad, M. A. (2004) Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography. In: 1st National Postgraduate Colloquium School of Chemical Engineering, USM, 2004, School of Chemical Engineering, USM.
Recognition of gas-liquid flow regimes in pipelines is important in an industrial control process such as for oil production. In oil production, gas-liquid flows are normally concealed in a pipe the actual type of flows cannot be easily determined. Also, obtaining measurements corresponding to the flow distribution becomes almost impossible.
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