Bibliographic record
Abstract
Based on the theory of semi-permeable diaphragm equivalent pore pressure, the fluid-chemistry coupling diffusivity equation of pore pressure is deduced, and then fluid-solid-chemistry coupling model for porous media is founded. Based on theory deduction and laboratory experiment, a new model which represents the relation between the pore pressure and the rock intensive parameters (cohesion stress and angle of internal friction) is founded. A new model which can calculate the collapse time for shale is developed by using the Coulomb-Mohr failure criteria, and then the finite element simulation program is developed by using the software of FEPG. According to the research, the drilling fluid of low activity can inhabit the increasing trend of pore pressure nearby the borehole effectively, and the drilling fluid of low activity can also inhabit the decreasing trend of cohesion stress effectively under the influence of chemical field and seeping field, which favors the borehole stability. The lithological character and drilling fluid performance should be considered in the process of evaluation and forecast of collapse time, and the drilling fluid can be optimized by using this multi field coupling model.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".