The Two-dimensional Heat Transfer Model and Wellbore Temperature Distribution of Aerated Under- balanced Drilling
Bibliographic record
Abstract
In recent years,the aerated drilling has become a major underbalanced drilling manner in the United States, Canada and other parts of the world.It was the major technology for solving the problems of serious leakage of fractures and porous formation and avoiding formation damage.In aerated drilling design,most of the formation temperature was approximated to aerated fluid temperature in the wellbore,this would inevitably lead to the design error,Therefore it was necessary to take the heat transfer between the wellbore and formation and study the temperature distribution of the aerated fluid in the wellbore.By studying the rules of radius heat exchanging of formation-annulus,annulus-drillstrings and axial wellbore heat exchanging rules and in combination with the characteristics of gas-liquid two-phase flow,a two-dimension heat transfer mathematical model was derived for aerated drilling.By using a case study,the influence of liquid injection and gas injection on wellbore temperature is investigated.Study indicates that the temperature distribution in the wellbore is nonlinear with the increase of well depth,and the maximum deviation of temperature between annulus and formation is near the bottom hole.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".