Use of Technical Design and Surveillance Tools to Minimize Operating Integrity Risk in High Temperature Wells
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
Abstract Shell Canada has conducted thermal recovery operations in the Peace River area of Alberta for over 50 years, using a combination of vertical, deviated and horizontal wells. During this time, many different recovery schemes, well designs, and operating practices have been used and assessed to determine the best approach to minimizing well integrity risk from safety, technical performance, and cost standpoints. The cumulative experience has allowed Shell to have an in-depth understanding of the most appropriate casing and connections for specific thermal service that offer the best long-term performance and integrity. Casing cement design and placement practices are a key component in well construction to obtain superior, long-term, hydraulic isolation performance. Well operations must be monitored though an effective surveillance process to obtain not only periodic assurance of mechanical integrity of well components, but also detection of inter-well formation anomalies that may lead to well failure or loss of hydraulic isolation if left unidentified. Monitoring and observation wells can offer key additional insights on sub-surface events and changes, and instrumentation techniques can flag anomalies, as soon as detected, for further assessment and action. This can protect not only the wellbores in use, but also assess the effect of project operations on boundary areas and previously abandoned wells.
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.
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