Development of dynamic models to predict leakages in long distance natural gas transmission pipeline
Date
2022-12
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Federal University of Technology, Owerri
Abstract
A mathematical model based simulation of pipeline flow is developed and compared with result from simulation of field data to determine if the model is capable of detecting a leak in a pipeline. This research work present the development of mathematical based model for the prediction of leakages in pipelines conveying natural gas as well as collection of transient data for the testing and validation of this model. The model developed thus is given by ��� = 1 + (1 − �/�)(�)(1�2 − 1)(147.4993 − 4.2624 �/�) and is developed by extending Fanning Equation due to pressure drop to be able to calculate the pressure drop along the length of natural gas transmission pipeline due to leakage. The characteristic changes in the flow mechanics and thermodynamics properties along the length of a pipeline were used in detecting the presence of leakages. Measurement of the pressure, flow and temperature data at both the upstream and downstream ends of the pipeline are used in developing the equations to govern the system in detecting the leak. The method was tested by obtaining field data from an existing pipeline infrastructure and subsequently simulating the pipeline in order to obtain the flow rate, pressure and temperature along the length of the pipeline; The 24 inch, 50KM export pipeline of AMENAM-KPONO field from AMP2 to Bonny in Niger Delta area of Nigeria was simulated using ASPEN HYSYS and the pressure profile along the length of the pipeline was obtained and compared with the pressure profile obtained by the solution of the mathematical model developed. The results of the developed model show that the approach is capable of theoretically determining the presence of leak in a pipeline.
Description
A Master's thesis on leakages in long distance natural gas transmission pipeline. It contains tables, Chart and Graphs.
Keywords
Pipeline, natural gas, leak detection, mathematical model, pressure drop, leakage, flow, temperature, length, flow rate., department of chemical engineering
Citation
Muoghalu, P. I. (2022). Development of dynamic models to predict leakages in long distance natural gas transmission pipeline . (Unpublished Master's thesis). Federal University of Technology, Owerri.