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Record W2315603647 · doi:10.4043/27074-ms

Design Case Study for a 4 MTPA FLNG System for Severe Metocean Conditions

2016· article· en· W2315603647 on OpenAlexaboutno aff
Robert M. Shivers, R. P. Michel, Norman P. Kolb

Bibliographic record

VenueOffshore Technology Conference · 2016
Typearticle
Languageen
FieldEngineering
TopicSpacecraft and Cryogenic Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsOperabilityLiquefactionEnvironmental scienceComputer scienceProcess engineeringReliability engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract Floating LNG is gaining acceptance as a viable alternative to conventional land based LNG plants. In the past few years, several FLNG projects have become commercial and reached FID. However, most FLNG systems designed to date remain complex, costly and operationally limited to areas with benign to moderate metocean conditions that allow side-by-side offloading of the LNG. This paper describes a "Split Process" FLNG design where primary production and gas treatment functions are provided on a host platform while liquefaction occurs on a separate vessel(s). The arrangement works in moderate to severe metocean operating conditions, such as offshore Western Australia or the Grand Banks of Eastern Canada, and is scalable from 1 – 6 MTPA. The design and features of a 4 MTPA, deepwater case study are described. Salient features of the concept include: Segregation on separate facilities of gas processing/condensate storage from liquefaction/LNG storageImproved safety, constructability and overall project scheduleUse of existing, standard hull designs for host facility and liquefaction vesselsPre-cooled Dual N2 expansion liquefaction for safety, simplicity and operabilityDual fuel diesel electric (DFDE) power to improve fuel efficiencyNo offloading of LNG in open water; all offloading takes place in sheltered water Process improvements have been made to the Dual N2 expansion liquefaction (DNX) process to reduce the unit liquefaction power. Fuel consumption for liquefaction is further reduced by the higher efficiency DFDE prime movers over gas turbines. The system offers lower capital cost and improved operability over conventional, integrated designs. Eliminating offshore LNG transfer and achieving fuel efficiency on N2 liquefaction similar to mixed refrigerant (MR) processes contribute to reliable/cost effective operations. The liquefaction vessel is derived from a standard DFDE Moss LNG carrier which is extended 42 ft. at the bow to add a liquefaction module, switchgear and disconnectable turret mooring. Additional power generation is added to drive the 2 MTPA liquefaction unit. The liquefaction vessel disconnects when full and transits to a transfer jetty in sheltered water to offload. A fleet of 3 × 2 MTPA dedicated liquefaction vessels provides continuous operation and total system capacity of 4 MTPA. A host platform, determined by site specific considerations, handles primary production, condensate storage/offloading and treats the gas to an LNG inlet specification. The host may be an FPSO, TLP or fixed platform/FSO depending on upstream field development requirements. The FLNG concept described offers both schedule and cost advantages through the use of standardized hull forms and repetitive, standardized design.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.038
GPT teacher head0.263
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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