Deformation Analysis and Fracture Mechanism of Steel Casing in Oil Wells
Bibliographic record
Abstract
Steel casing damage in oil wells is the primary hazards of oil production in China. There are two main reasons for the steel casing damage, one is the displacement loads on the external interface which primary come from rock creep, and another reason is temperature load on the internal surface which comes from steam injection. In this article, rock creep under fluid-solid interaction is calculated, and the displacement loads on external interface of steel casing is worked out. Then, steel casing deformation and crack propagation with temperature load is investigated. Underground rocks can be treated as porous media and rock creep is controlled by fluid-solid interaction for porous media. The method of fluid-solid interaction for finite element analysis is the calculation of two-way fluid-solid coupling for porous media; it means fully coupling between the solid and fluid solution variables. This method is analyzed and the displacement load is worked out as an example application. Finite element model is constructed; deformation and crack propagation of steel casing under multiple actions of outer loads and inner temperature load are calculated. Finally, fracture mechanism of steel casing in oil wells is analyzed, and some advice is proposed.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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".