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Record W4212940944 · doi:10.1306/12032121141

The Western Canada Sedimentary Basin: A confluence of science, technology, and ideas

2022· article· en· W4212940944 on OpenAlexaffabout
Paul MacKay, Per Kent Pedersen

Bibliographic record

VenueAAPG Bulletin · 2022
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsConfluenceGeologySedimentary rockStructural basinSedimentary basinPaleontologySedimentary basin analysisGeomorphologyEarth scienceGeochemistry

Abstract

fetched live from OpenAlex

ABSTRACT The Western Canada Sedimentary Basin is the second largest intracratonic basin in the world. It covers more than 1.4 million km2 from an eastern zero edge against the Precambrian shield to the western boundary at the Rocky Mountains, where it is up to 7 km thick. The basin has estimated reserves of 171 billion bbl of oil and 632 trillion ft3 of gas and produces approximately 15 billion ft3 of gas/day and 3.5 million bbl oil/day (over two-thirds is heavy oil and bitumen). The basin has multiple major source rocks, numerous reservoir horizons, and an abundance of data. Multiple hydrocarbon systems exist with generation in the western part of the basin, migration to the east, with extensive hydrocarbon accumulations across the basin, including the oil sands deposit in the Fort McMurray area. The principal migration direction is lateral and seems to be highly influenced by highs and lows in the underlying crystalline basement. This lateral migration of hydrocarbons has created one of the richest hydrocarbon basins in the world. Although exploration history of the basin has spanned more than a century, the Western Canada Sedimentary Basin has appreciable untapped zones, and new plays are developing continuously. With the advancement of multistage fractured horizontal wells, numerous new unconventional plays have rejuvenated the basin. The economics of the basin are strong, with its extensive service industry and infrastructure, but are hampered by the long distance to tidewater and the lack of sufficient take-away capacity.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.186
Teacher spread0.182 · 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

Citations20
Published2022
Admission routes2
Has abstractyes

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