MODELING AND SIMULATION OF A PERPETUAL PIGGING MECHANISM

• Main Author: MD SHAHSAZIZAN, IKHWAN
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi Petronas 2013
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://utpedia.utp.edu.my/13681/1/Dissertation%20Report_2.pdf; http://utpedia.utp.edu.my/13681/

Demands in oil and gas industries on reliable quality of inspection in pipeline operation is increasing throughout the year, although intelligent PIGs are more capable than simpler conventional counterparts, they still have several setbacks such as cannot clean throughout the pipeline while inspection and only can move in several distance in a single flow. Pipeline is the most important medium to transport crude oil and gas to the terminal. In order to maintain the efficiency of the transportation, Conventional PIG is the best solution that can act as a pipeline cleaner and also Intelligent PIG as a pipeline inspector to detect any corrosion and leakage. A proper research work has been made, an improvement in which a prototype of an Intelligent PIG is developed with respect to the benchmarked of the pipeline crawler drive mechanism to clean and inspect throughout the oil and gas pipeline on entering and leaving the pipeline from a single exit. This project is aimed to develop the assembly of a CAD-based model of an experimental intelligent PIG drive mechanism and simulate to show that the PIG model is able to travel in both contra-flow and in-flow direction based on the research work that has been made. CATIA software was used to review and developed the CAD-based model assembly on changing all constrains to meet the specific requirements. Meanwhile, for simulations using DMU Kinematics was used to demonstrate the movement of the PIG drive mechanism in a pipeline using a suitable joints and constrains. The final outcome of this project is a demonstration of the experimental PIG crawler drive mechanism CAD-based model assembly are correctly develop with the suitable constrains and shows that the PIG travel in the pipeline on both