Real-Time Monitoring of Downhole ECDs for Parasite Aeration Using a Simple Spreadsheet Calculation
Bibliographic record
Abstract
Abstract Monitoring the real-time down hole equivalent circulating densities (ECD) of parasite aeration can be done quite easily and accurately with a simple spreadsheet calculation. The method is described and field examples are presented comparing the results of this using procedure with pressure while drilling (PWD) data. Situations where using this method may not be accurate will also be discussed. Parasite aeration involves running a small diameter string of tubing down the outside of the casing string and injecting air to aerate the mud column in the casing to drill pipe annulus to reduce bottom hole pressure. Parasitic aeration is a highly effective method for underbalanced drilling operations which has many advantages over down the drill pipe aeration. These include a lower air injection pressure, independent control of the mud and air injection rates, aeration can continue during connections, different dual gradient pressure profile more like the pore pressure profile for high altitude locations, lower pressure surges after trips or connections, and the unique ability to monitor in real-time the down hole pressure with a simple spreadsheet calculation.
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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 | 0.003 |
| 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) | 0.011 | 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".