Residual Organic Matter Associated with Toluene-Extracted Oil Sands Solids and Its Potential Role in Bitumen Recovery via Adsorption onto Clay Minerals
Bibliographic record
Abstract
Adsorption of hydrocarbon components, particularly by clay minerals, has an important influence on the recovery of conventional oil from reservoir rocks. In the same vein, biwetted clay particles have been associated with bitumen losses during processing of surface-mined oil sands. In this work, we examined four oil sands with very different batch-extraction unit (BEU) bitumen recovery profiles. Bitumen-free solids from these ores were subjected to supercritical fluid extraction with methanol to separate quantitatively any toluene-insoluble, residual organic matter. The yield of extract correlated well with the amounts of solids in the fine (<44 μm) and clay (<3 μm) size fractions as well as with the concentrations of kaolinite and illite present in the oil sands ores. It is generally assumed that organic matter adsorbed by reservoir solids is asphaltic in origin; however, in the results discussed here, the compositional and structural analysis of the methanol extracts showed more similarities to the resin component of bitumen. Also, in comparison to other bitumen saturates, aromatics, resins, and asphaltenes (SARA) fractions, the extracts from each oil sands were somewhat enriched with pyridines, sulphoxides, and sulphones. We argue that the physicochemical properties of the residual organic matter separated by supercritical extraction strongly influence the wettability of solids in the ores through adsorption onto clay minerals. We suggest that this mechanism is a prerequisite for the formation of biwetted clay particles capable of stabilizing emulsified bitumen-in-water droplets that are too small to be successfully recovered by flotation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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 teacher head, 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".