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Record W7125590904 · doi:10.1306/09172523122

The rebirth of the Leduc-Woodbend Nisku oil pool in Alberta, Canada

2025· article· en· W7125590904 on OpenAlexaffabout
Mengwei Zhao, David Tian

Bibliographic record

VenueAAPG Bulletin · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsAlberta EnergyPenn West Exploration (Canada)
Fundersnot available
KeywordsPaleozoicSubaerialDevonianTaphonomyNatural (archaeology)

Abstract

fetched live from OpenAlex

ABSTRACT Horizontal drilling has led to the rebirth of the Leduc-Woodbend Nisku oil pool and substantial economic returns. The original vertical-well development produced 91.4 MMBO (14.5 MMm3) in 64 yr, whereas horizontal-well development has produced 17 MMBO (2.7 MMm3) of oil in the past 12 yr and will produce at least 41.5–51.9 MMBO (6.6–8.3 MMm3) in the future starting in 2024. It is projected that the oil pool is destined to be a hundred-year-producing pool and could produce until at least 2075. In recent years, the pool has been generating more than $100 million of revenue annually and yielding free cash flow. This operational and economic success indicates that certain tight conventional oil pools like the Nisku pool contain recoverable oil reserves, which cannot be fully developed by vertical wells and still possess significant room for horizontal drilling development. The Nisku reservoir possesses low porosity, ranging mainly between 1% and 6% with an arithmetic mean of 2.9%, and low permeability, ranging mainly between 0.1 and 100 md with an arithmetic mean of 6.8 md. If other oil-field operators thoroughly review the sedimentary settings, lithofacies, and especially petrophysical parameters in their old oil pools developed only by vertical wells and compare them with those in this pool, they could determine whether their oil pools still have potential for horizontal drilling before they will be, or even after they have been, abandoned.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.999

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)0.0020.000

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 head0.170
Teacher spread0.167 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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