Junction Stability Study of a Fishbone Well, Offshore East Coast Canada
Bibliographic record
Abstract
ABSTRACT: This manuscript presents a recent study on fishbone junction stability for a well in Offshore East Coast Canada, positioned in shallow marine storm deposited sandstone. The objective was to analyze the feasibility of the fishbone design, and to estimate the extent and type of failure at the vicinity of the fishbone junctions. A 1D geomechanical model was previously built and carefully calibrated for this field. A finite element model including formation rock and the wellbore was constructed. The geometry and curvature of the wellbore were accurately represented in the model to reflect the designed trajectory. P10 rock strength and mechanical properties were implemented to capture the behavior of weaker formations. Finite Element simulations were then performed to analyze the junction stability due to drilling of the fishbone, drilling of the main wellbore and subsequent production drawdown. Post yield plastic deformation of the rock was modeled to provide a more realistic estimation of rock failure, as calibrated by experimental data. Results of the simulation revealed the development of both tensile and shear failure zones. Drilling-induced tensile fractures occur in tensile zones. Shear failure manifests itself both at the junction and further along the main wellbore and fishbone as breakouts. Overall, the expected failures appear to be manageable with limited risk on the operations, thereby supporting the application of fishbone design in the field.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".