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Record W2052380627 · doi:10.2118/65022-ms

A Summary of Successful Field Applications of A Kinetic Hydrate Inhibitor

2001· article· en· W2052380627 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSPE International Symposium on Oilfield Chemistry · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsNalcor Energy (Canada)
Fundersnot available
KeywordsHydrateSubcoolingSoftware deploymentClathrate hydrateKinetic energyField (mathematics)Environmental scienceComputer scienceMaterials scienceChemistryPhysicsOrganic chemistryMathematics

Abstract

fetched live from OpenAlex

Abstract A kinetic hydrate inhibitor based on a copolymer of vinylcaprolactam and vinylmethylacetamide has been successfully deployed in a number of fields, including both inland and offshore applications. The inhibitor has a low toxicity and manages a high degree of subcooling, up to 20°F. The effective dosage ranges from 550 ppm to 3000 ppm, depending upon the severity of the operating condition in each field. The performance of this inhibitor, the field conditions in which it was applied, and the benefits are discussed in this paper. These field cases helped establish the application technology for proper deployment of kinetic hydrate inhibitors. The success of these programs has confirmed the viability of using kinetic inhibitors as an effective hydrate control method. This kinetic inhibition technology not only provides an attractive cost-saving alternative to thermodynamic inhibitors; it also improves the safety of operation while lowering the environmental impact.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.499
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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.

Opus teacher head0.005
GPT teacher head0.221
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it