Multicomponent time‐lapse monitoring of two hydraulic fracture stimulations in an unconventional reservoir, Pouce Coupe Field, Canada
Bibliographic record
Abstract
A multicomponent time-lapse survey was acquired by Talisman Energy in early 2008, along with microseismic of various methods, with the intent of delineating stimulated rock volume in an unconventional Montney reservoir. In an effort to determine the expected reservoir time-lapse response to an increase in fluid pressure due to the fracture stimulation, static moduli and velocity measurements in core data were analyzed. Due to the impermeable nature of the reservoir, only a very subtle time-lapse change is predicted from the core data, and only if full pressurization of the reservoir is achieved. Fluid flow modeling, however, shows full pressurization of the reservoir expected only in the immediate vicinity of the induced fracture, and therefore little or no time-lapse response is expected in the P-wave domain, and none is observed, Finally, modeling of the local reservoir stress regime before and after the induction of a fracture indicates a significant change is expected, one that is seen through analysis of shear-wave splitting. The time-lapse response in birefringence shows a correlation to downhole microseismic monitoring of the fracture extents.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".