Early Detection and Prevention of Two-Phase Flow-Induced Vibrations in CO2 Transport Pipelines Using a Flow Control System Coupled with a Neural Network Model

IF 5.2 3区 工程技术 Q2 ENERGY & FUELS
Geonwoo Jeong, Sunghyun Park, Insun Park, Woojin Go and Yutaek Seo*, 
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引用次数: 0

Abstract

This study addresses the challenge of two-phase flow-induced vibrations (FIVs) in CO2 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 CO2 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 data were used to develop and train an artificial neural network (ANN) model. This ANN model effectively identifies two-phase unstable flows (USFs) and initiates an internal model control logic to adjust the valve opening of the flow control system. Upon adjusting the valve opening, stable two-phase flow was obtained. The obtained results demonstrated that early detection and timely control should reduce the maximum pressure and the duration of USFs. The control system was also applied to the simulation model for the offshore CO2 transport pipeline for the CCS project in the East Sea of Korea and proved its effectiveness to minimize the impact of two-phase USF. These results suggest that implementing this ML-based control system enhances the safety and reliability of CO2 transport pipelines, making CCS projects more economically viable by utilizing existing infrastructure.

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来源期刊
Energy & Fuels
Energy & Fuels 工程技术-工程:化工
CiteScore
9.20
自引率
13.20%
发文量
1101
审稿时长
2.1 months
期刊介绍: Energy & Fuels publishes reports of research in the technical area defined by the intersection of the disciplines of chemistry and chemical engineering and the application domain of non-nuclear energy and fuels. This includes research directed at the formation of, exploration for, and production of fossil fuels and biomass; the properties and structure or molecular composition of both raw fuels and refined products; the chemistry involved in the processing and utilization of fuels; fuel cells and their applications; and the analytical and instrumental techniques used in investigations of the foregoing areas.
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