Carbon Dioxide Transport Pipeline Systems: Overview of Technical Characteristics, Safety, Integrity and Cost, and Potential Application of Digital Twin
Author | Sleiti, Ahmad K. |
Author | Al-Ammari, Wahib A. |
Author | Vesely, Ladislav |
Author | Kapat, Jayanta S. |
Available date | 2024-02-11T10:27:22Z |
Publication Date | 2022-02-16 |
Publication Name | Journal of Energy Resources Technology, Transactions of the ASME |
Identifier | http://dx.doi.org/10.1115/1.4053348 |
Citation | Ahmad, K., Wahib, A., & Jayanta, S. (2022). Carbon Dioxide Transport Pipeline Systems: Overview of Technical Characteristics, Safety, Integrity and Cost, and Potential Application of Digital Twin. |
ISSN | 0195-0738 |
Abstract | Carbon dioxide transport from capture to utilization or storage locations plays key functions in carbon capture and storage systems. In this study, a comprehensive overview and technical guidelines are provided for CO2 pipeline transport systems. Design specifications, construction procedures, cost, safety regulations, environmental and risk aspects are presented and discussed. Furthermore, challenges and future research directions associated with CO2 transport are sorted out including the large capital and operational costs, integrity, flow assurance, and safety issues. A holistic assessment of the impurities' impacts on corrosion rate and phase change of the transported stream is required to improve pipeline integrity. The influence of impurities and the changes in elevation on the pressure drop along the pipeline need to be further investigated to ensure continuous flow via accurate positioning of pumping stations. Although the long-experience in oil and gas pipeline industry forms powerful reference, it is necessary to develop particular standards and techno-economic frameworks to mitigate the barriers facing CO2 transport systems. Digital twins (DT) have potential to transform CO2 transport sector to achieve high reliability, availability, and maintainability at lower cost. Herein, an integrated fivecomponent robust DT framework is proposed for CO2 pipeline transport systems and the future directions for DT development are insinuated. Data-driven algorithms capable of predicting system's dynamic behavior still need to be developed. The data-driven approach alone is not sufficient and low-order physics-based models should operate in tandem with the updated system parameters to allow interpretation and result's enhancing. Discrepancies between dynamic system models, anomaly detection, and deep learning (ADL) require in-depth localized off-line simulations. |
Sponsor | This publication was supported by the International Research Collaboration Co. Fund Grant (IRCC-2019-012), Qatar University, Qatar. |
Language | en |
Publisher | American Society of Mechanical Engineers |
Subject | anomaly detection and deep learning (ADL) carbon dioxide transport CO pipeline 2 cost and risk digital twin dynamic system model (DSM) emissions from fossil fuel combustion energy systems analysis oil/gas reservoirs petroleum transport/pipelines/multiphase flow safety sensor network underground injection and storage |
Type | Article |
Issue Number | 9 |
Volume Number | 144 |
ESSN | 1528-8994 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Mechanical & Industrial Engineering [1396 items ]