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Record W2073896151 · doi:10.2523/iptc-11046-abstract

The Darwin LNG Project

2005· article· en· W2073896151 on OpenAlexaff
Doug Yates, C. Schuppert

Bibliographic record

VenueInternational Petroleum Technology Conference · 2005
Typearticle
Languageen
FieldEngineering
TopicSpacecraft and Cryogenic Technologies
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsLiquefied natural gasEngineeringElectric powerWaste managementNatural gasPower (physics)

Abstract

fetched live from OpenAlex

This reference is for an abstract only. A full paper was not submitted for this conference. Abstract With the start of construction on the Darwin LNG Project in June 2003,ConocoPhillips will set a new benchmark for LNG projects by using aero-derivative gas turbines as drivers for the LNG refrigeration train. Thirty-five years ago, in 1969, the Conoco Phillips-designed Kenai LNG Plant in Alaska delivered the first commercial LNG exported from the Western Hemisphere to Japan's Tokyo Electric Power Company, Inc. (Tokyo Electric) and Tokyo Gas Co., Ltd. (Tokyo Gas). This LNG operation pioneered the LNG trade to the Pacific Rim, which has grown from less than 1 MTPA in 1969 to more than 80MTPA today. The Darwin LNG Project continues this long-term relationship between ConocoPhillips, Tokyo Electric, and Tokyo Gas with the development of a single train grassroots LNG Plant in Darwin, Australia. This will also be the first LNG project where Tokyo Electric and Tokyo Gas are not just the buyers for the LNG, but also equity owners in the related upstream gas condensate and LPG reserves, pipeline, and associated LNG plant, an indication of the commitment toward a continued long-term relationship amongst the three companies. The Darwin LNG Project will also introduce several new firsts in the evolution of LNG liquefaction technology. Again, thirty-five years ago, the Kenai LNG Project set the future trend for the LNG industry by becoming the first to use gas versus steam turbines for refrigerant compressor drivers. The Darwin LNG Project will continue to build on this history of innovation and evolution of the LNG industry by being the first LNG plant to use high efficiency, low emissions aeroderivative designed gas turbines for refrigerant drivers. The LNG Plant will also incorporate several other design features to reduce greenhouse gas emissions. This paper will discuss the history of the commercial development of the Darwin LNG Project that resulted in the execution of a binding HOA and gasfield equity ownership with Tokyo Electric and Tokyo Gas. The various design innovations that will be incorporated into the LNG Plant to reduce greenhouse gas emissions will also be discussed. The paper will provide an overview of the project development activities, including initial contract development, current project schedule, workforce management issues, and the plant handover process.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.464

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 science0.0010.000
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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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 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".

Quick stats

Citations2
Published2005
Admission routes1
Has abstractyes

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