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Record W1999278715 · doi:10.2118/06-05-tn1

Prevention of Refinery Plugging by Residual Oil Gellant Chemicals in Crude-Optimization of Phosphonate Ester Oil Gellants

2006· article· en· W1999278715 on OpenAlexafffund
Robert S. Taylor, P.S. Stempler, Alain Lemieux, Gary P. Funkhouser, Glen Fyten, A. Cheng, Shawn Stadnyk

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsPetro-Canada
FundersUniversity of Alberta
KeywordsPhosphonateRefineryPhosphorusVolatilisationDistillationChemistryEnvironmental sciencePulp and paper industryMallinckrodtProcess engineeringWaste managementPetroleum engineeringOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Abstract Previous research(1, 2) described refinery plugging caused by volatile phosphorus components originating from phosphate ester oil gellants. Also documented were two successful field trials of new phosphonate ester oil gellants used to address this problem. In this paper, results of additional field testing are presented as a final step to broad field application. The objectives of this additional work were to optimize cost and performance, investigate any remaining questions, and establish quality control specifications based on both performance testing and NMR compositional analysis. The synthesis methodology of this new molecule has been refined as a means to reducing final production costs. One objective of the additional field testing was to ensure both operational performance and the ability to control volatile phosphorus while continuing to meet the standards of the first two field trials. Several questions also needed further investigation. One issue was the ability of phosphonate esters to control volatile phosphorus at higher temperatures. Distillations used to evaluate volatile phosphorus to date have had a 250 °C end point. This temperature was chosen because it represents the approximate temperature experienced at the distillation tower trays where plugging has been observed from components condensing from the gas phase. However, the actual peak temperature in the tower bottom is closer to 350 °C. This higher temperature is the actual temperature at which decomposition or volatilization will occur. Therefore, to more fully understand our ability to control volatile phosphorus, distillations were conducted with a 350 °C end point. Volatile and total phosphorus to both 250 °C and 350 °C end points are reported. Another continuing area of concern has been organic halide formation under distillation tower conditions. Although no organic halides were detected in either of the two initial field trials, further testing was conducted during the additional field trials reported in this paper. Finally, quality control methods have been established based on both performance testing and compositional analysis determined using NMR. Overall conclusions are drawn in preparation for broad field implementation regarding:Ability to control volatile and total phosphorus;Ability to prevent organic halide formation;Cost and availability;Rheology and CO2 compatibility;Temperature stability;Field handling and typical concentration ranges; and,Quality control specifications based on performance testing and NMR analysis. Theory Free-radical addition of dimethyl phosphite to an alpha olefin can result in a mixture of isomers. The desired 1 ° product arises from addition to the terminal carbon of the double bond, but some addition of the double bond results in formation of the 2 ° isomer (Figure 1). Depending on the reaction conditions, this byproduct can account for as much as 20% of the product. Both of these isomers are carried through the subsequent dealkylation reaction, again resulting in a mixture of isomers (Figure 2). To obtain a successful product, two characteristics are required: low volatility to prevent distillation tower fouling and the ability to form a good gel. Gelation results from metal complexation with the phosphonate monoester.

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: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

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