Ithnin, Hanafi (2023) Industrial single photon emission computed tomography (ISPECT) system for oil-water two-phase flow in a horizontal pipeline. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.

Preview	Text 24p HANAFI ITHNIN.pdf Download (675kB) | Preview
	Text (Copyright Declaration) HANAFI ITHNIN COPYRIGHT DECLARATION.pdf Restricted to Repository staff only Download (438kB) | Request a copy
	Text (Full Text) HANAFI ITHNIN WATERMARK.pdf Restricted to Registered users only Download (6MB) | Request a copy

Abstract

Understanding the oil-water flow pattern throughout the transportation in a horizontal pipeline would ensure it is efficiently supervised and could greatly assist in managing it. Hence, the flow pattern data can be utilised to design and create better process equipment such as for the oil-water separator. A nonagonal industrial single photon emission computed tomography system (iSPECT) imager for horizontal pipeline monitoring system is constructed and presented in this thesis. The iSPECT system can visualise the oil-water interface level inside a horizontal pipe. The goal of this study is to use the iSPECT system as an instrument to inspect and monitor the flow pattern of the oil-water separation process in the industry. Previous works on industrial iSPECT were focused on imaging the radiotracer distribution in vertically installed equipment, such as mixing tanks. However, this work investigates the capability of using 36 Sodium Iodide detectors by simulating different detectors arrangements using MCNPX code to image the flow pattern inside a horizontal pipe. The nonagonal ring arrangement was found to be the best detection geometry from the simulation study. Subsequently, the nonagonal iSPECT hardware and software for data acquisition and image reconstruction were fabricated and tested in a static condition. Technetium (Tc-99m) mixed with water was used as radiotracer material, providing the gamma-ray emission within the flow. Three experiments were done, where the Tc-99m radiotracer was left stationary inside the pipe, the flowing tracer in water flow and the flowing tracer in oil-water flows. The images (visualisations) of dynamics flow for water-only flow and liquid-liquid (oil-water) flow were obtained, and all images were then analysed. The visualisation results show the system is able to image water levels up to 60% of the region diameter with an error of ±5%. The information obtained undeniably would be able to help in the equipment designing and verification of existing computational modelling and simulation techniques. Finally, it would ensure process control and monitoring during the oil-water separation process is proficiently administered and monitored

Actions (login required)

View Item