Thief zone identification through seismic monitoring of a CO 2 flood, Weyburn Field, Saskatchewan
Why this work is in the frame
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Bibliographic record
Abstract
Located in the Williston Basin (Figure 1) in Southeastern Saskatchewan, Weyburn Field implemented eight years ago a EOR project in order to maximize recovery from the fields main producing unit: a carbonate reservoir known as the Midale Beds. To date, Weyburn Field has produced 335 million barrels of oil and has an estimated 1.4 billion barrels OOIP (Davis and Roche, 2006). This paper demonstrates that Time‐Lapse and Multicomponent seismic data analysis is an effective tool for monitoring injection through the detection of changes in reservoir properties such as porosity, fluid distribution, and fracture density. The monitoring of these changes directly informs the design of the EOR project, thus optimizing field recovery. Evaluation of P‐wave Time‐Lapse and S‐wave data resulted in the following conclusions regarding production in Weyburn field: 1‐ The Midale Beds are experiencing a downward loss in in the west corner of the study area. Shifting the location of the nearby injection well is recommended. 2‐ Throughout the field, P‐wave time‐lapse shows that is largely confined to NW‐SE fracture orientation identified after interpretation of the 2000 S‐wave data.
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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) | 0.001 | 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 it