Microseismic and time‐lapse monitoring of a heavy oil extraction process at Peace River
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Peace River is Shell Canada's in situ heavy oil production operation in northwestern Alberta, with estimated bitumen in place of 8–10 billion barrels. Current production strategy is to use multi‐lateral horizontal wells to steam the bitumen saturated sand reservoir and to then use the same horizontal wells to produce the mobilized bitumen. Although Peace River has been in operation for over 40 years, there has been considerable uncertainty about the processes taking place within the reservoir during these steam and production cycles. This has made it difficult to optimize the drilling and operational strategies so as to maximize the value of this large resource. Over the last two years, Shell Canada has carried out a focused effort to apply geophysical monitoring techniques to gain a better understanding of the processes taking place in the reservoir, and to assess the practicality of monitoring on a field‐wide basis. Time‐lapse surface‐to‐surface and surface‐to‐borehole surveys were carried out, in conjunction with continuous microseismic monitoring, over a test pad of horizontal wells. The study of this diverse set of monitoring data, together with core and log information, and pressure, injection and temperature data for several steam and production cycles, has provided valuable information about how steam and mobilized bitumen move through the reservoir. This has, in turn, allowed us to adapt our drilling and operational strategy in order to exploit the factors that control steam distribution and ultimately the efficiency of our operation.
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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) | 0.000 | 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) | 0.000 | 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 it