Understanding bitumen recovery from oil sands through Colloidal and interfacial phenomena
Bibliographic record
Abstract
"Summary form only given". Canadian oil sands are unconsolidated sand deposits that are impregnated with heavy, viscous petroleum, normally referred to as bitumen. The total bitumen in place in Alberta is estimated at 1.7 to 2.5 trillion barrels and is clearly massive by world standards. Presently, 25% of the Canadian energy needs are derived from upgraded bitumen from mined oil sands. The oil sands are a complex mixture containing bitumen, mineral solids, clays, connate water and salts. The bitumen recovery from the oil sands using water extraction processes involves bitumen separation from the sand grains and air-bitumen attachment for subsequent flotation. Colloidal, interfacial and electrokinetic phenomena play a major role in bitumen recovery from oil sands using water based extraction processes. Through the use of basic scientific tools at the micro and molecular scales, we were able to understand the working of what is considered to be a mega scale industrial process. Electrophoretic and atomic force balance measurements were used to establish the reasons for the observed low bitumen recovery in the presence of fine solids and divalent ions. As well, impinging jet deposition experiments were utilized to ascertain the ability of air-bitumen attachment under different physicochemical environment. The behavior of the bitumen-water interface was studied to better understand the formation of stable water-in-bitumen emulsions. Langmuir trough and micro-pipette techniques were employed to elucidate the fundamental role of deemulsifiers. The presentation will illustrate how one can within a University environment study a complex industrial process that is of great importance to the Canadian Energy Sector.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".