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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".