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Record W2183920540

The Mallik Gas Hydrate Field: Lessons Learned from 37 Years of Gas Hydrate Investigation

2009· article· en· W2183920540 on OpenAlexaboutno aff
S R Dallimore, J F Wright, Koji Yamamoto, L R Snowdon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsClathrate hydrateAnticlineHydrateGeologyPermafrostNatural gasNatural gas fieldSaturation (graph theory)Submarine pipelineMineralogyPetroleum engineeringGeomorphologyGeotechnical engineeringChemistryOceanography
DOInot available

Abstract

fetched live from OpenAlex

The Mallik gas hydrate field is located in the Mackenzie Delta in Canada’s Northwest Territories. The gas hydrate deposits consist of an interbedded sequence of highly concentrated gas-hydrate-bearing sands from 890 m to 1106 m depth within the crest of a regional anticline feature. Ground temperature conditions of this terrestrial gas hydrate occurrence are conditions by ~600 m of permafrost. Quantitative well log analyses and core studies have documented numerous discrete gas hydrate layers exceeding 110 m in total thickness. High gas hydrate saturation values, that in some cases exceed 80% of the pore volume, establish the Mallik gas hydrate field as one of the most concentrated gas hydrate reservoirs in the world. The abundant geologic and engineering data available at the site, the advantageous logistics presented by its terrestrial location, and the similarities to many offshore gas hydrate occurrences have made the Mallik site a very desirable location for gas hydrate research and development. This presentation will review history gas hydrate investigations at the Mallik site from the first discovery well in the winter of 1971/72 through to several production R&D studies in 1998, 2002 and 2007/08.

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)0.011
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0020.006
Scholarly communication0.0050.007
Open science0.0020.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.246
Teacher spread0.220 · 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 designObservational
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

Citations1
Published2009
Admission routes1
Has abstractyes

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