Corrosion Inhibitors for Jet Pump Applications
Bibliographic record
Abstract
Abstract Jet pumps present unique challenges for corrosion inhibitors since they must perform in high temperatures, pressures, and shear conditions. These chemistries need to also be compatible with the power fluids and not cause any ancillary problems such as foaming or emulsions in the production system. These compatibility challenges are amplified with produced water with extremely high total dissolved solids (TDS) brines such as those encountered in the Bakken. Production from these wells often require the injection of fresh water to mitigate the formation of halite precipitates. Continuous corrosion inhibitor applications into systems where the produced high TDS water rates are low, can lead to emulsions, particularly if the power fluids are not heated. For Jet pumps with concentric string geometries set up to produce the fluids and gases separately, a batch treating corrosion inhibitor was developed to treat the outer gas annulus area. This paper describes laboratory testing results for various corrosion inhibitors used in jet pump applications, including products for continuous and batch treatment, and discusses the results obtained from field applications.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".