Mathematical model for calculating the horizontal principal stress of a faulted monoclinal structure in southwest Qaidam Basin, China
Bibliographic record
Abstract
ABSTRACT Faulted monoclinal structures incorporate folds and faults. Their displacements cause stress release of differing degrees in various areas. Furthermore, the faults commonly extend to the deep strata, which may lead to the flow of boiling inclusions and localized thermal stresses. A complex distribution of in situ stress appears in such areas, which makes it challenging to drill wellbores. In this study, we first analyzed the geological structure and the factors influencing in situ stresses of a faulted monoclinal structure in southwest Qaidam Basin. Second, based on Huang’s model, a mathematical model for calculating the horizontal principal stress of the faulted monoclinal structure was developed considering the stress release from fault and fold displacements and the outflow from boiling inclusions. Third, the magnitudes of the horizontal principal stresses of the study area were obtained using this new mathematical model, and the predicted values had an average error of 2.63% according to a comparison with the results of the hydraulic fracturing field measurements. Fourth, an in situ stress distribution in this area was established by combining the horizontal principal stresses’ magnitudes and the maximum horizontal principal stress direction. Finally, based on the in situ stress distribution of the study area, the mud density and trajectory for drilling the third stage of well Z207 were determined. The field application revealed that the design parameters met the engineering requirements satisfactorily, which indicates that this mathematical model can predict the horizontal principal stress of the faulted monoclinal structure in southwest Qaidam Basin.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".