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Record W2983234727 · doi:10.2118/197519-ms

A New, Low Cost CNG Ship, the Optimum

2019· article· en· W2983234727 on OpenAlexaff
John Fitzpatrick, David Stenning

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutions3v Geomatics (Canada)
Fundersnot available
KeywordsForcing (mathematics)Compressed natural gasMarine engineeringHullNaval architectureEngineeringWork (physics)Stack (abstract data type)Mechanical engineeringComputer scienceGeology

Abstract

fetched live from OpenAlex

Abstract The quest to develop a low-cost, volume efficient CNG ship has been pursued for two decades. The optimum way to store compressed gas is to stack long lengths of hexagonal close-packed pipe horizontally in the holds of a ship. Past attempts to use this approach failed because as the ship flexes at sea, the pipes rub against each other which is clearly unacceptable. A novel technical solution has been developed and a ship design, based on this new "Optimum" technology, was recently Approved for Construction by the American Bureau of Shipping. This paper describes the technology, the ship, the design process and concludes with an economic evaluation. By forcing long horizontal hexagonal stacked pipe tightly together within the hold of the ship the friction mobilized between the pipes creates sufficient shear resistance to prevent the pipes from moving and fretting in any circumstance. Based on this novel principle, a CNG ship with a capacity of 200 million standard cubic feet of natural gas was designed. The CNG-O-200 design was approved by the American Bureau of Shipping in January 2019 after three years of design, physical testing, computer modeling, and verification of safety and reliability. Some of the challenges addressed were: Determination of the forces and the mechanism needed to mobilize the friction,Design of the ship envelop, focusing on the midship section,The physical testing program to prove the system works,Developing a gas loading and discharge method was safe, simple and cost effective. The main result of this work is a low-cost and volume efficient CNG ship that is Approved for Construction by ABS. On a volume equivalent basis, the size of a CNG Optimum ship is less than one-half the size of past CNG ship designs such as the Coselle CNG ship. This has significantly improved the economics of marine CNG shipping. Marine CNG shipping has been an emerging technology and industry for many years with limited commercial success. Applications of marine CNG include markets that neither LNG nor pipelines have been able to serve, such as stranded offshore gas and smaller regional markets. This new low-cost and efficient CNG ship offers industry a new way to monetize stranded gas reserves and serve smaller regional gas markets.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.005
GPT teacher head0.179
Teacher spread0.174 · 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 designSimulation or modeling
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

Citations0
Published2019
Admission routes1
Has abstractyes

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