A data-driven probabilistic model for well integrity management: case study and model calibration for the Danish sector of North Sea-Reference-Cited by-同舟云学术

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A data-driven probabilistic model for well integrity management: case study and model calibration for the Danish sector of North Sea

Published:2020-04-02 Issue:2 Volume:5 Page:142-153
ISSN:2470-5314
Container-title:Journal of Structural Integrity and Maintenance
language:en
Short-container-title:Journal of Structural Integrity and Maintenance

Author:

Miraglia Simona¹

Affiliation:

1. Department of Civil Engineering, Aalborg University, Aalborg, Denmark

Funder

Aalborg Universitet

Danish Hydrocarbon Research and Technology Centre

Publisher

Informa UK Limited

Subject

Mechanical Engineering,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24705314.2020.1746013

Reference46 articles.

1. Reliability estimation of pressurised pipelines subject to localised corrosion defects

2. Modeling of pipeline corrosion degradation mechanism with a Lévy Process based on ILI (In-Line) inspections

3. ASME B31G. (1991). Manual for determining the remaining strength of corroded pipelines. ASME B31G-1991.

4. Probability distribution of pitting corrosion depth and rate in underground pipelines: A Monte Carlo study

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1. Integrated Building Maintenance and Safety Framework: Educational and Public Facilities Case Study;Buildings;2022-06-05

2. A novel machine learning model for autonomous analysis and diagnosis of well integrity failures in artificial-lift production systems;Advances in Geo-Energy Research;2022-01-11

3. Well integrity management in mature fields: a state-of-the-art review on the system structure and maturity;Journal of Petroleum Exploration and Production Technology;2021-04

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