Comparison of Dimensionless Inflow Performance Relationships for Gas Wells
Bibliographic record
Abstract
Abstract Dimensionless inflow performance relationships (IPRs) provide a method to model the sandface deliverability of gas wells when only data from a single drawdown or buildup test are available. This paper compares the predictions from 3 dimensionless IPRs (Mishra and Caudle1, Billiter and Lee2 and Chase and Alkandari3) with measured inflow performance coefficients from 4 point modified isochronal tests from 31 Alberta wells. The dimensionless IPRs from Mishra and Caudle1 and Chase and Alkandari3 closely match the predictions from measured inflow performance coefficients. Assuming that the n equals 1.0 overpredicts flow rate on average by 19%. The advantages of using the LIT equation (also known as laminar-inertial-turbulent, Houpert or Forchheimer equation) rather than the Rawlins- Schellhardt equation are discussed.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".