Three-Phase Equilibrium Study for Heavy-Oil/Solvent/Steam System at High Temperatures
Bibliographic record
Abstract
Summary Reservoir simulation and research activities of heavy oil production processes (steam-assisted gravity drainage, vapour extraction, or the steam/solvent combined hybrid process) require accurate values of equilibrium constants (K-values) at elevated temperatures. However, such data are rarely available in open literature either because of the temperature limitation of pressure/volume/temperature (PVT) equipment or difficulties in performing high-temperature three-phase vapour/liquid equilibrium (VLE) experiments. In this paper--with the assistance of a state-of-the-art fully visual PVT cell that was specifically developed for heavy viscous oils, is capable of performing fluid-phase-behaviour studies at temperatures up to 250°C, and that effectively mixes samples with viscosity up to 1,000 cp at test temperature--a heavy-oil/solvent/steam equilibrium case study is presented. The heavy oil was mixed with solvent and water at a specified weight ratio, temperature, and pressure in the heavy-oil PVT cell. After achieving equilibrium, the volumes of vapour, liquid, and water phases were measured. The samples from each phase were drawn for compositional analysis using gas chromatography (GC), and K-values of the hydrocarbon components were examined. The component compositions from this experiment were used for equation-of-state (EOS) model tuning. This case study shows that with proper care, the EOS can be characterized and used to match with experimental data for heavy oil.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".