A Mechanistic Analysis of Viscous Fingering in Low-Tension Polymer Flooding in Heavy-Oil Reservoirs
Bibliographic record
Abstract
Abstract Low tension polymer flooding (LTPF) can be considered as an alternative enhanced oil recovery method for some heavy oil reservoirs where thermal and miscible gas-injection methods face technical and environmental challenges. To properly tailor LTPF to a heavy oil reservoir, it should be optimized via simulation in the lab, pilot, and field scales. However, simulation normally suffers from the paucity of detailed knowledge of viscous instability or fingering effects, due to displacing a more viscous fluid by a less viscous one. This instability reduces displacement efficiency and may invalidate usual method of simulating LTPF performance based on relative permeability and capillary pressure concepts. Also, it introduces an additional scaling requirement for using results of experiments in larger scales. Thus, predicting instability nature is of particular concern, to avoid viscous fingering, or, where it is inevitable, to be capable to include it as an additional factor in modeling displacement. Major limitations of previous approaches for studying viscous fingering in immiscible displacements are that reported experiments have been conducted utilizing linear displacements schemes in media with high, single-phase permeabilities. Consequently, the questions that arise are whether previous findings can be valid in low-permeability media and using displacement schemes similar to the oil-field patterns (e.g., five-spot). In oil-field patterns, one has to deal with varying velocity profiles from injector(s) to producer(s). Because velocity is one controlling factor in viscous fingering, the effect of dispersion caused by varying velocity profiles has not been tested completely on viscous fingering in previous experimental studies. To help understand viscous fingering in LTPF in heavy oil reservoirs and to overcome the limitations of previous studies, we conducted experiments in low-permeability, one-quarter, five-spot patterns. New insights into the main driving mechanisms for viscous fingering are proposed. In summary, the mechanisms of spreading, splitting, coalescence, and microscopic crossflow drive the finger growth. In addition, the viscous fingers are readily initiated in the porous medium, but they can be damped out before traveling very far. This damping of the viscous fingers is due to the flow of the two phases in a direction transverse to the direction of bulk fluid movement (along the mean free path) as a result of dispersive processes such as stream splitting. Also, the initially- developed fingers may deteriorate over the time of displacement. This depends on the distance between the injector and producer and width of the porous medium. The presence of instabilities that look like fingers and stable displacements behind the unstable front were discovered. The results also indicate that a stable zone exists and progresses throughout the porous medium at varying velocities. This was the reason for considerable ultimate recovery observed after breakthrough where numerous pore volumes were injected. Finally, we reveal three different types of displacements that occurred: stable displacements, displacement with macroscopic viscous fingering, and displacements with both macroscopic and microscopic viscous fingering. Therefore, in LTPF, macroscopic and microscopic fingering exist and flow theory must include both to match the experimental results. Additionally, the differences between microscopic and macroscopic fingering has not been incorporated in available reservoir simulations. Hence, these two phenomena need to be modeled in simulations.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".