MétaCan
Menu
← Back to cohort
Record W2909071805 · doi:10.4095/220718

Beaufort-Mackenzie Basin: a review of conventional and nonconventional (gas hydrate) petroleum reserves and undiscovered resources

2005· review· en· W2909071805 on OpenAlexaff
G R Morrell, J Dixon, J R Dietrich, L R Snowdon, S R Dallimore, Jacek Majorowicz

Bibliographic record

Venuenot available
Typereview
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsClathrate hydratePetroleumPetroleum engineeringGeologyStructural basinPetroleum systemBeaufort scaleEarth sciencePaleontologyHydrateOceanographyChemistrySource rock

Abstract

fetched live from OpenAlex

The Beaufort-Mackenzie Basin hosts an immense petroleum resource. Fifty-two petroleum fields found by 263 wells, including four gas hydrate research wells, have discovered petroleum expected to be 172.75 x 106m3 recoverable crude oil and condensate and 254.67 x 109m3 marketable conventional natural gas. The region is estimated to have an expected undiscovered 957.2 x 106m3 recoverable crude oil and 1.64 x 1012 m3 recoverable conventional natural gas. The conventional resources are co-located with an immense gas hydrate resource estimated between 2.4 x 1012 and 87 x 1012 m3 raw natural gas in place. Development of the often co-located gas hydrate petroleum resource could augment the conventional petroleum province significantly within the production life span of the conventional onshore fields.

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)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.025
GPT teacher head0.289
Teacher spread0.264 · 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
GenreReview

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

Citations5
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicMethane Hydrates and Related Phenomena→French-language works237,207→