The demand in an efficient technique to monitor the condition of the pipeline for oil and gas industries leads to research into alternative solutions. The conventional methods are often too expansive and require manpower to conduct an on-site inspection. Using the Eddy current testing as the main principle, this study aims to explore the capability of 8-coil channel EMT as pipeline imaging in a different analytical situation. The 2D 8-coil channel is developed using COMSOL Multiphysics and using 20 kHz sinusoidal frequency to detect the pipeline with different materials, which is alloy and aluminum. Simulation results proved that EMT is a capable tool for inspection of metallic pipelines. This paper also presented a comparison of the pipeline cross-sectional images from the simulation and experimental.

In Crude Palm Oil (CPO) milling operations, the oil flow that has gone through separation process must be tested for its purity as wastes (e.g. palm oil mill effluent, water, sludge) tend to get carried along the process pipeline. At present, this procedure usually takes up to 5 days as samples of the flow needed to be verified biologically for its composition. Electrical Capacitance Tomography (ECT) systems that are able to provide the cross-sectional images of a closed content has proven the possibility of monitoring the composition of CPO flow in online manner. ECT systems are also able to provide other crucial flow information such as its velocity and flow regime that could help in controlling the processes. In this paper, a brief literature review of existing ECT systems are presented, then a conceptual design for developing an ECT system for visualizing and measuring CPO flow are presented along with the decision process of choosing suitable technique and hardware types for the new ECT system for CPO monitoring. A preliminary simulation study of the capability of the designed system to reconstruct images of water-oil flow phantoms is also presented. The simulation results show that the designed system is capable of reconstructing phantom images with error lower than 30 %.