OPTIMIZATION OF ELECTRICAL CAPACITANCE TOMOGRAPHY SENSOR USING DESIGN OF EXPERIMENT METHOD

This paper discusses the Design of Experiment (DOE) method to design an optimum Electrical Capacitance Tomography (ECT) sensor for gas-oil flows. The method has focused mainly on eliminating overshoots and undershoots in normalized ECT data. The DOE technique employed was an implementation of a 2k factorial design. ECT data based on ECT sensor parameters were used to evaluate the interaction among factors or inputs (i.e. ECT parameters) and the responses or outputs (i.e. normalized ECT data overshoot or undershoot) The results demonstrate the feasibility of using DOE to determine the interaction or influence of sensor parameters on the severity of normalized ECT data overshoots and undershoots and to facilitate the design of the most optimum ECT sensor for a particular application.