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A methodology to calibrate the PICSI cyclic p-y model using experimental results and optimisation

A methodology to calibrate the PICSI cyclic p-y model using experimental results and optimisation
A methodology to calibrate the PICSI cyclic p-y model using experimental results and optimisation

Fatigue life estimation of the components of a drilling conductor system is often a critical design consideration. The analysis is usually performed using a coupled system, with the soil-conductor interaction modelled using p-y springs that remain constant throughout the analysis. This means that shifts in bending moment profile that occur due to degradation and recovery of the soil during or after cycling are not accurately modelled. While the PICSI framework (White et al., 2022) can model changes in stiffness and strength of p-y curves due to cycling and pore-pressure dissipation, guidance has not yet been provided on how to calibrate its parameters. This paper presents an experimental methodology for this calibration process based on centrifuge and p-y model testing in reconstituted carbonate silt and kaolin clay. The procedure uses numerical optimisation, and the calibrated parameters are validated against results from an independent set of centrifuge tests on carbonate silt using a flexible pile of similar dimensions to a conductor. It is found that the calibrated model is able to match the changes in cyclic bending moment through a sequence of different packets of cyclic loading. This calibration procedure provides an objective approach for more accurate modelling of conductor fatigue.

Conductors, Fatigue analysis, p-y curves, Soft soils, Subsea drilling systems, Whole life model
0029-8018
Guevara, M.
b4ec8b9b-bef8-4314-a2b4-55a47b9b10a2
Doherty, J.P.
5d780f71-27d2-4aa3-8f2c-54817e674076
Watson, P.G.
236d28ae-367b-41cd-8327-fcc488e931ef
White, D.J.
a986033d-d26d-4419-a3f3-20dc54efce93
Guevara, M.
b4ec8b9b-bef8-4314-a2b4-55a47b9b10a2
Doherty, J.P.
5d780f71-27d2-4aa3-8f2c-54817e674076
Watson, P.G.
236d28ae-367b-41cd-8327-fcc488e931ef
White, D.J.
a986033d-d26d-4419-a3f3-20dc54efce93

Guevara, M., Doherty, J.P., Watson, P.G. and White, D.J. (2023) A methodology to calibrate the PICSI cyclic p-y model using experimental results and optimisation. Ocean Engineering, 287 (Pt. 2), [115786]. (doi:10.1016/j.oceaneng.2023.115786).

Record type: Article

Abstract

Fatigue life estimation of the components of a drilling conductor system is often a critical design consideration. The analysis is usually performed using a coupled system, with the soil-conductor interaction modelled using p-y springs that remain constant throughout the analysis. This means that shifts in bending moment profile that occur due to degradation and recovery of the soil during or after cycling are not accurately modelled. While the PICSI framework (White et al., 2022) can model changes in stiffness and strength of p-y curves due to cycling and pore-pressure dissipation, guidance has not yet been provided on how to calibrate its parameters. This paper presents an experimental methodology for this calibration process based on centrifuge and p-y model testing in reconstituted carbonate silt and kaolin clay. The procedure uses numerical optimisation, and the calibrated parameters are validated against results from an independent set of centrifuge tests on carbonate silt using a flexible pile of similar dimensions to a conductor. It is found that the calibrated model is able to match the changes in cyclic bending moment through a sequence of different packets of cyclic loading. This calibration procedure provides an objective approach for more accurate modelling of conductor fatigue.

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More information

Accepted/In Press date: 5 September 2023
e-pub ahead of print date: 3 October 2023
Published date: 3 October 2023
Keywords: Conductors, Fatigue analysis, p-y curves, Soft soils, Subsea drilling systems, Whole life model

Identifiers

Local EPrints ID: 497637
URI: http://eprints.soton.ac.uk/id/eprint/497637
ISSN: 0029-8018
PURE UUID: 1e87a4a7-3532-4ea1-86f6-41df6024fe27
ORCID for D.J. White: ORCID iD orcid.org/0000-0002-2968-582X

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Date deposited: 28 Jan 2025 18:01
Last modified: 29 Jan 2025 02:55

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Contributors

Author: M. Guevara
Author: J.P. Doherty
Author: P.G. Watson
Author: D.J. White ORCID iD

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