Accelerated Hydrate Crystal Growth in the Presence of Low Dosage Additives Known as Kinetic Hydrate Inhibitors
Bibliographic record
Abstract
Kinetic hydrate inhibitors (KHIs) or low dosage hydrate inhibitors (LDHIs) are known as additives employed to delay the onset of gas hydrate nucleation time in hydrocarbon pipelines. It has been observed, however, that in laboratory experiments accelerated hydrate growth called catastrophic growth can occur. This may be a serious problem if it occurs in a field application of kinetic inhibitors. The mechanism of such accelerated hydrate growth in the presence of KHIs is still not understood. A high-pressure microdifferential scanning calorimeter was employed to study the accelerated hydrate growth in the presence of chemical and biological inhibitors. It is hypothesized that capillary action facilitates the transport of water molecules across the formed hydrate layer from the bulk of the liquid water phase to the gas–liquid interface. This in turn might be the governing mechanism for catastrophic hydrate growth in the presence of KHIs. In addition, the hydrate catastrophic index is introduced in this work as a parameter to quantify the phenomenon based on the laboratory data and the type of experiment conducted. The HCI may then serve as a measure of the pipeline hydrate plugging potential.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".