Digital Twin for CP Maintenance and Life Extension of Marine Offshore Structures

Abstract Data retrieved from Cathodic Protection (CP) surveys of offshore marine structures cannot always anticipate imminent failures, neither they can help estimating the timescale for repairs or for the introduction of retrofitting. Even when potentials measurements are retrieved within an accepted range there could be detrimental interaction or excessive anode wastage that can't be inferred from the survey data. A 3D digital twin of offshore marine structures together with computational modelling can assist in detection of future risks, like anticipated wastage of anodes, coating degradation, loss of continuity, interference, etc. and predict timescales for repairs or maintenance, as well as aid in the design of an effective retrofitting systems to extend their service life. This paper illustrates the use of a CP 3D digital twin in a complex scenario for which there is interaction between different structures and CP systems. Current survey data is used to calibrate the numerical model and historical survey data to evaluate numerical trends. Finally, forward predictions under different scenarios help determine whether retrofitting would be needed to extend the life of the asset and when. Different retrofit alternatives can be assessed allowing to select the best cost-effective option.

Authors

Publication Details

Published
2025-04-06
DOI
https://doi.org/10.5006/c2025-00574
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Twin for CP Maintenance and Life Extension of Marine Offshore Structures

Cristina Peratta, Andrés Peratta, Robert Ashbey
Technology Assessment and Management
article

Digital Twin for CP Maintenance and Life Extension of Marine Offshore Structures

Cristina Peratta, Andrés Peratta, Robert Ashbey
article en

Abstract

Abstract Data retrieved from Cathodic Protection (CP) surveys of offshore marine structures cannot always anticipate imminent failures, neither they can help estimating the timescale for repairs or for the introduction of retrofitting. Even when potentials measurements are retrieved within an accepted range there could be detrimental interaction or excessive anode wastage that can't be inferred from the survey data. A 3D digital twin of offshore marine structures together with computational modelling can assist in detection of future risks, like anticipated wastage of anodes, coating degradation, loss of continuity, interference, etc. and predict timescales for repairs or maintenance, as well as aid in the design of an effective retrofitting systems to extend their service life. This paper illustrates the use of a CP 3D digital twin in a complex scenario for which there is interaction between different structures and CP systems. Current survey data is used to calibrate the numerical model and historical survey data to evaluate numerical trends. Finally, forward predictions under different scenarios help determine whether retrofitting would be needed to extend the life of the asset and when. Different retrofit alternatives can be assessed allowing to select the best cost-effective option.

Openalex Percentile: Top 92%
Technology Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Digital Twin for CP Maintenance and Life Extension of Marine Offshore Structures — Cristina Peratta, Andrés Peratta, et al. · (2025) | TGRS Research Map | TGRS