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Record W2041133659 · doi:10.4043/25217-ms

State-of-the-Art SCR Qualification Program for 24 inch × 40 mm Thick Clad Pipe with Upset Ends for the Browse Project

2014· article· en· W2041133659 on OpenAlexaff
Basim Mekha, Ben Hawkey, Bruce D. Chandler, Bill Fazackerley, Donald Stevens

Bibliographic record

VenueOffshore Technology Conference · 2014
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsIntecsea (Canada)
FundersWoodside
KeywordsSubseaCatenaryMarine engineeringWeldingUpsetEngineeringMechanical engineeringStructural engineering

Abstract

fetched live from OpenAlex

Abstract This paper describes a comprehensive and state-of-the-art steel catenary riser (SCR) qualification program that was undertaken by Woodside Energy Limited (Woodside) as operator of the Browse LNG Development on behalf of the Browse Joint Venture participants for their original Browse LNG Development concept (Browse to Kimberley subsea development and onshore processing concept). The Browse LNG Development comprises of three distinct fields, Calliance, Brecknock and Torosa, and is located offshore Western Australia. The objective of the program was to demonstrate the feasibility of using corrosion- resistant alloy (CRA) clad 24 inch Outside Diameter (OD) × 40 mm Wall Thickness (WT) Wet Gas Export SCRs for the Browse project, in approximately 600 m water depth. CRA clad SCRs of such a large size have not been installed previously and no CRA clad SCRs of this size have been used in such relatively shallow water. The combination of a large diameter pipe with a high design temperature in relatively shallow water SCRs presented a design challenge. CRA clad pipe was required due to the corrosive fluid and high temperature combination. In addition, upset ends for the SCR touchdown area were needed to meet the fatigue life requirements. Clad pipe production, CRA welding of 40 mm thick pipe and Automated Ultrasonic Testing (AUT) inspection of such girth welds has not been done previously in either pipeline or riser applications. The requirement to achieve high class fatigue performance was another challenge. The pipe for the qualification program was procured from two different mills, to improve the probability of success and to explore different pipe manufacturing methods. The bodies of some pipe joints were externally machined to form upset ends, which were needed to satisfy the fatigue requirements of the SCRs. A weld procedure qualification program was conducted for the girth welds, to demonstrate that CRA welds would be able meet the typical but usually stringent requirements for SCRs. This included a full-scale fatigue test program, to establish the applicable design curves for the welds. Finally, three Automated Ultrasonic Testing (AUT) inspection companies performed AUT of seeded defect welds, to demonstrate the capabilities of their systems to reliably size and detect small flaws in CRA girth welds. The details of the SCR qualification program will be presented with emphasis on the steps taken to successfully complete the program and the lessons learned from the challenges that were encountered. The program has pushed the envelope of the industry capabilities and presented a unique opportunity for the contractors to extend their capabilities beyond normal SCR requirements by encouraging them to develop innovative solutions to achieve an acceptable outcome that meets the stringent SCR design requirements. The paper summarizes the challenges and measures taken to complete the various stages of the qualification program. The results, lessons learned and recommendations from each step of the program, from pipe procurement and welding to AUT inspection and fatigue testing, are presented. The program was very challenging in all aspects, but succeeded in achieving its overall objectives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.251
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2014
Admission routes1
Has abstractyes

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