Screening of Three Light-Oil Reservoirs for Application of Air Injection Process by Accelerating Rate Calorimetric and TG/PDSC Tests
Bibliographic record
Abstract
Abstract A series of Accelerating Rate Calorimeter (ARC) and Thermo Gravimetric Pressurized Differential Scanning Calorimeter (TG/PDSC) tests was conducted on oil-rock systems from three light-oil reservoirs (Oils A, B and C) to screen and evaluate the potential of the air injection process. ARC tests helped determine, a priori, whether the test oils would autoignite under reservoir conditions of pressure and temperature. Also, the limits of the low temperature range were established and Arrhenius oxidation kinetics parameters were estimated. The goals of the TG/PDSC tests were to identify temperature ranges over which the oil reacted with oxygen in the injected air, and to determine the fraction of the sample responsible for the reactivity. ARC and TG/PDSC tests demonstrate that Oils A and C offer favourable exothermic behaviour in the low temperature range with lower activation energies and low orders of reactions?the conditions typically favouring autoignition. The presence of rock material lowered the ignition temperature, confirming its impact on O2 uptake. Oil A had a lower energy generation (ignition) temperature, and a stronger and smoother transition to the higher temperature region. Both oils responded favourably during isothermal aging with air as manifested by a drop in the initial self-heating temperature (a 15 °C drop for Oil A and a 10 °C drop for Oil C). The third oil, Oil B, showed unusual characteristics, with almost no impact of the core material on the starting temperature of the exotherm; rather, the core material appeared to have acted as a heat sink. Overall, Oil B needed a much higher activation energy to ignite, and its order of reactions was very high. Furthermore, it showed no response to isothermal aging, and hence, it is less likely to autoignite in the reservoir. esults revealed that ARC and TG/PDSC tests could be an effective tool to rank and study the oxidation characteristics in the low temperature range of the candidate oils. Also, it was observed that the oil composition and rock mineralogy are important factors affecting the type and rate of the oxidation reactions occurring in the low temperature range. Introduction The air injection process is now a proven and viable process in improving oil recovery from several light-oil reservoirs. As a result, it has generated much interest in recent years(1–5). Cheap and abundant, air is also touted as a possible alternative to highcost hydrocarbon and CO2 gases in certain circumstances or locations where water is scarce(6–10). Moore et al(11) suggest that in an air injection process in lightoil reservoirs, both oxygen addition and bond scission reactions take place. Oxygen addition reactions are believed to occur at temperatures between 100 °C and 150 °C. These reactions are characterized by heavier oxygenated hydrocarbon products. Bond scission reactions for light oils typically occur at temperatures in the 150 to 300 °C and the 350 to 700 °C range. These reactions produce carbon oxides, water (steam) and heat, which contribute significantly towards mobilizing oil.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| 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) | 0.000 | 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".