Multistage Fractured Cardium Oil: Studying Geology and All of the Production and Stimulation History Thus Far
Bibliographic record
Abstract
Abstract As the industry has unlocked vast new resources in North America with multistage fractured horizontal wells, an immense push has occured in terms of applying these new technologies to new plays. In the last 3 years, there has been an immense development in the Cardium tight oil play in Alberta, Canada, as commodity prices have encouraged a shift to oil exploitation whereever possible. A variety of operators and service companies have employed many differing techniques which have evolved over the years, to attempt to maximize Cardium oil production and reserves. ALL public well files for ALL fractured horizontal wells have already been collected from the public realm regardless of the operator and service company. leading up to the abstract submission date with select wells added up to manuscript deadline date. These files are currently being reviewed and tied to production to establish empirical results and evolution in the exploitation of this play. Factors currently being examined are isolation technologies, stage spacing, frac fluid selection, proppant selection as well as a variety of other information. A large amount of geological information will be reviewed and presented in order to understand the production expectations as a part of a regional study of various geological properties. When possible, a combination of geological and stimulation information will be examined together.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".