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Record W2079401338 · doi:10.2118/2009-182

Evidence That Naturally Occurring Inhibitors Affect the Low-Temperature Oxidation Kinetics of Heavy Oil

2009· article· en· W2079401338 on OpenAlexafffund
N. P. Freitag

Bibliographic record

VenueCanadian International Petroleum Conference · 2009
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsSaskatchewan Research Council (Canada)
FundersPetroleum Technology Research Centre
KeywordsCitationDownloadKineticsChemistryComputer scienceFraction (chemistry)Information retrievalLibrary scienceWorld Wide WebOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Abstract The so-called induction period, the time delay between the initial exposure to oxygen of an oil or oil fraction and the start of rapid oxidation, was examined experimentally for the saturates fraction separated from a Lloydminster heavy oil. The observed kinetics could be explained by assuming that the saturates contained a small amount of naturally occurring oxidation inhibitors, which repressed the oxidation rates by rapidly consuming an essential intermediate in the reaction chain, but which were also gradually consumed in the process. This observation explains some of the complexity that has been seen in the oxidation rates that control combustion front development during in-situ combustion, and provides some added direction in the development of a comprehensive reaction model for this process. Introduction For enhanced oil recovery of heavy oil by in-situ combustion to be viable, it is essential that a high-temperature combustion front be established and maintained(1). Unfortunately, the creation of a combustion front can be thwarted (or sometimes aided) by the reactions that occur at temperatures below those needed for combustion. This problem has stimulated interest among some oil producers for a prediction method that can define the conditions for stable field operations. Low-temperature oxidation (LTO) is chief among the troublesome reactions. During the initial ignition period of an in-situ combustion project, the temperature must pass through the low-temperature oxidation (LTO) region, and therefore the success of an ignition is strongly influenced by this group of reactions. Similarly, when a combustion front encounters conditions at which factors such as a low air flux or heat losses reduce the temperature so that high-temperature oxidation is weakened, the LTO rates may dictate whether or not a combustion front remains stable. LTO has been found to be complex, and efforts to model it(2,3) have needed much more than a single reaction with Arrhenius rate parameters. In addition, the behaviour of the saturates fraction of oils has been shown(3) to be starkly different from that of the other SARA fractions. One of the major differences between the oxidation of saturates and the other aromatic-type fractions is that the saturates, when separated from the other fractions, exhibit a prolonged period of apparent inactivity after which LTO becomes much more rapid. In the literature on the chemistry of air injection, this is normally called an "induction period". There are two commonly accepted explanations for an induction period. One explanation is that it reflects the time for some intermediate compound in an essential chain of reactions to build up to the concentration needed for it to affect oxidation rates significantly. The other explanation is that a period of low reaction rate will exist until certain compounds that act as scavengers of an essential free-radical intermediate are consumed by their action. The difference can be important. If the first explanation is true, then a new induction period will occur whenever oxygen supply is interrupted and the essential intermediate becomes consumed as it continues along its reaction path.

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 score0.019
Threshold uncertainty score0.808

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 science0.0010.000
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 head0.018
GPT teacher head0.249
Teacher spread0.231 · 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

Citations17
Published2009
Admission routes2
Has abstractyes

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