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Record W2011437053 · doi:10.1021/ef050417w

Novel Organic Solids Deposition and Control Device for Live-Oils:  Design and Applications

2006· article· en· W2011437053 on OpenAlexaff
Mohammed Zougari, Scott Jacobs, John Ratulowski, Ahmed Hammami, George Broze, Matthew Flannery, Artur Stankiewicz, Kunal Karan

Bibliographic record

VenueEnergy & Fuels · 2006
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsSchlumberger (Canada)Queen's University
Fundersnot available
KeywordsDeposition (geology)Flow assuranceReynolds numberTurbulenceMaterials scienceShear (geology)Flow (mathematics)WaxPetroleum engineeringMechanicsChemistryComposite materialGeologyOrganic chemistry

Abstract

fetched live from OpenAlex

A novel laboratory-scale flow assurance tool termed an “organic solids deposition and control (OSDC)” device has been developed to assess the potential for and severity of organic solids deposition problems from hydrocarbon fluids at realistic production and/or transportation conditions. The OSDC device is a shear cell based on Couette−Taylor flow with a cylindrical geometry. The shear cell geometric parameters are optimized to maximize the Reynolds number. The OSDC device mimics the typical pipeline production conditions of temperature, pressure, composition, turbulence, shear rate, surface type, and roughness. These key parameters can be accurately and independently controlled, allowing the deposition tests to be conducted over a wide range of conditions. Deposition tests were performed on live waxy and asphaltenic oils. Reproducible deposits have been generated under consistent test conditions. Wax deposition rates from OSDC are comparable to those found in pilot-scale flow loops while using orders of magnitude less fluid.

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.

How this classification was reachedexpand

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 categoriesnone
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 score0.895
Threshold uncertainty score0.447

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)0.0000.000

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations67
Published2006
Admission routes1
Has abstractyes

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