The Integrated Use of new Wireline Technologies to Reduce Full Bore Core Requirements and Cost in the Canadian Oil Sands
Bibliographic record
Abstract
For 40+ years the industry has collected core from thousands of wells drilled to delineate the resource. It is the authors contention that with the use and proper application of newer formation evaluation wireline technologies available in the industry operators can save both time and money by reducing the number of wells cored, time taken to analyse the core and make development decisions. This paper will discuss the log response of these tools and comparison to core results in some example wells in the Ft McMurray area Wireline tools exist today that permit accurate determination of the formation weight bitumen percentage and the amount of water filled porosity in the rock. Tools exist today that permit an accurate measure of the primary elements in the rock and a robust estimate of the mineralogy from which lithofacies can be determined. Acoustic tools exist that permit mapping the log properties of the lithofacies back into the reservoir with ties to 3D seismic. The use of the mineralogical determined lithofacies when combined with image logs can be used to determine depositional environment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".