2nd North American Conference on Multiphase Technology, Banff, Canada, 21-23 June, 2000
Bibliographic record
Abstract
Flow modelling: wellbore temperature profile calculations for underbalanced drilling applications, G.A. Gregory pipeline transport of oil with strongly temperature-dependent viscosity, B. Strand, S.M. Djuve effect of flow improvement chemicals on vertical zero net-liquid flow, L. Liu, S.L. Scott experimental investigation of multiple solutions for liquid hold-up in upward inclined stratified flow, S.P. Smith et al. Oil-water flow modelling: a new model for dispersed multi-layer oil-water flow, S.S. Jayawardena et al the effect of surfactants on low water cut oil-water flows in large diameter pipelines, H. Shi et al modelling of corrosion inhibitor transport in pipelines carrying oil-water mixtures, Y.V. Fairuzov et al. Slug modelling: the effect of inclination on slug characteristics in three phase oil/water/gas flow in large diameter pipes, C. Kang et al modelling of slug dissipation and generation in a hilly-terrain pipeline, H-Q. Zhang et al characterisation and active control of slugging in a vertical riser, P.D. Molyneaux et al three-phase slug tracking with PeTra, M. Larsen, P. Hedne towards a slug-flow model for multiphase flow with complex liquids, S. Nuland. Field applications in multiphase modelling: new developments in flow modelling and field data verification, J. Nossen et al application of multiphase flow methods to underbalanced drilling pilot test data, S.P. Smith et al. Multiphase metering: a study of the performance of Venturi meters in multiphase flow, A.R.W. Hall et al coupling PVT-software with multiphase meters, A.K.Rydahl, H. Soerensen real-time multiphase metering using non-intrusive microwave sensor, B. Hogan et al design of a clamp-on ultrasonic liquid flowrate monitor for wet gas pipelines, D. Vedapuri, M. Gopal development of a wet gas flowmeter, P. Andreussi et al development and testing of a novel gas-liquid flow meter combining pressure fluctuation generated by vertical and horizontal flow patterns, p. Toma et al. Multiphase equipment: smart sensors for controlling oil-water separation processes, A.J. Jaworski et al. (Part contents).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.206 | 0.110 |
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".