Early Detection and Prevention of Two-Phase Flow-Induced Vibrations in CO 2 Transport Pipelines Using a Flow Control System Coupled with a Neural Network Model

High Resolution Image Download MS PowerPoint Slide This study addresses the challenge of two-phase flow-induced vibrations (FIVs) in CO 2 transport pipelines, which are crucial for safe operation of the pipelines and processing facilities for carbon capture and storage (CCS) projects. The formation of two-phase flow due to phase changes may induce vibrations of pipelines, especially in riser sections of offshore platforms. Conventional design strategies to mitigate FIVs may not be applicable to the CO 2 transport pipelines in the case of reuse of the existing infrastructures. This study investigates the performance of a flow control system coupled with a machine learning algorithm for early detection and prevention of FIVs. Experiments were conducted using a flow loop using air and water to simulate two-phase flow and to obtain both vibration and pressure fluctuation data, and then those…