A comparison of Alaska and Alberta heavy oil sands
Bibliographic record
Abstract
As an important unconventional reservoir, heavy oil sands have their peculiar characteristics. Compared with conventional reservoir, heavy oil sands are usually buried at shallow depth, and the porosities are very high. Due to the temperature-sensitive viscosity of heavy oil, the velocities are highly temperature-dependent. Moreover, owing to the difference in porosity, compaction, and heavy oil viscosity, oil sands in distinct fields display difference between them. In this paper, we compared the heavy oil sands from Alaska and Alberta, and analyzed the geological factors that can affect the rock properties. Based on our samples, the depth and porosity are compared. Moreover, the variations of velocity under different temperature, and the corresponding Vp/Vs ratios are investigated. In the end, the different velocity trends of Alaska oil sands and Alberta oil sands are inspected and explicated. Presentation Date: Wednesday, September 27, 2017 Start Time: 4:45 PM Location: 351D Presentation Type: ORAL
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".