Fate of Organic Liquid-Crystal Domains during Steam-Assisted Gravity Drainage/Cyclic Steam Stimulation Production of Heavy Oils and Bitumen
Bibliographic record
Abstract
The fate and impacts of hydrocarbon-based amphotropic liquid-crystal-rich domains (a recently identified material class found in hydrocarbon resources) during production transport and refining are unknown. New materials and process knowledge on this topic will contribute to parsing impacts currently attributed to asphaltenes or other crude oil fractions. In this qualitative work, the fate of liquid-crystal-rich domains in steam-assisted gravity drainage (SAGD) and cyclic steam stimulation (CSS) production environments is surveyed, using a combined laboratory and field study. In the laboratory, a fraction of liquid-crystal-rich domains present in Athabasca bitumen is shown to transfer to the water-rich phase under simulated SAGD and CSS conditions and transfer mechanisms are discussed. In the field study, liquid-crystal-rich domain transfer from Peace River and Athabasca bitumen to process water during SAGD production is demonstrated. Transferred liquid-crystal-rich domains are subsequently captured in surface facilities (primary separation, secondary separation, and water treatment processes) and do not impact steam generator operation, under normal operating conditions. Most of the liquid-crystal-rich domains are returned to the hydrocarbon-rich phase during primary separation. Impacts of liquid-crystal-rich domains on hydrocarbon resource transport and refining and SAGD surface facility optimization comprise foci for future study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".