The rebirth of the Leduc-Woodbend Nisku oil pool in Alberta, Canada
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".