Case Study of Managed Pressure Tripping Operation through Abnormal Formations in West Canadian Sedimentary Basin
Bibliographic record
Abstract
Abstract The deep basin of British Columbia, Canada contains the Montney and Doig plays, which are categorized as tight gas sands. Both are considered major unconventional gas plays containing vast quantities of gas in the west and oil in the coarser eastern facies. The formations have high initial formation pressure which promotes production, however during drilling causing drilling challenges. It is especially difficult when drilling through the abnormally pressured Doig transit zone. This is further complicated when a trip is required for the bit as the swabbing effect, if not properly managed, can easily escalade into a well control event. Due to the overpressured and geologically fractured formations, it is very difficult to trip the drill string out of the well safely without using specialized techniques. MPT is one such method that can be utilized in these scenarios. Managed Pressure Tripping allows the driller to control bottomhole pressure (BHP) in different types of abnormally pressured zones, and simultaneously eliminating the swabbing effects by holding surface back pressure (SBP) with the managed pressure drilling (MPD) system. Applying MPT techniques on subnormal and overpressured formations results in safe and cost effective drilling operations. This paper presents a case study where advanced Managed Pressure Tripping (MPT) technology was successfully applied in the Altares field in British Columbia, Canada, to mitigate well control challenges associated with swabbing. The study elaborates on recommended operational procedures, engineering calculations, equipment set up and process flow diagrams along with the analyzed graphical data.
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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) | 0.000 | 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 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".