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Record W4231005857 · doi:10.2118/2005-110

A Simple Kinetic Model for Coke CombustionDuring an In Situ Combustion (ISC) Process

2005· article· en· W4231005857 on OpenAlexaff
Y. Ren, N.P. Freitag, Nader Mahinpey

Bibliographic record

VenueCanadian International Petroleum Conference · 2005
Typearticle
Languageen
FieldEnergy
TopicCoal and Coke Industries Research
Canadian institutionsSaskatchewan Research Council (Canada)University of Regina
Fundersnot available
KeywordsCokeSimple (philosophy)CombustionProcess (computing)Process engineeringKinetic energyIn situComputer scienceThermodynamicsWaste managementChemistryEngineeringPhysical chemistryPhysicsOrganic chemistryOperating system

Abstract

fetched live from OpenAlex

Abstract Although coke combustion studies have been long conducted, literature is still lacking an accurate understanding of reaction kinetics. To this end, the thermo-oxidative behaviors of Neilburg oil and its asphaltene fraction were examined in the presence of core sand. Thermogravimetric analysis (TGA) was performed in a flowing atmosphere at the heating rate of 10 ° C/min up to 750 ° C. Both nitrogen and air were used at a flow rate of 45ml/min in the experiments. As earlier researchers have observed, at least two main regions of reactions were identified by the thermogravimetric (TG) and derivative thermogravimetric (DTG) thermograms. Various effects, including distillation, low-temperature oxidation (LTO), thermal cracking, high-temperature oxidation (HTO) or combustion, even mineral decomposition were observed. In this study, Neilburg oil and asphaltenes were completely cracked in nitrogen atmosphere at 425 ° C to produce coke. Subsequently, the fresh coke was subjected to isothermal combustion at several temperatures from 374 °C to 519 °C. A two-step oxidation reaction model was applied to describe this combustion process. The chemical reactions were simplified into two oxidations occurring in series. In the first reaction, coke was partially oxidized to form an intermediate product, which was then burned in the second reaction. Based on the TGA data, kinetic parameters were estimated with the aid of custom written software. For comparison, the one-step oxidation reaction model was also employed to predict the combustion process. The two-step oxidation reaction model gave a better fit to the experimental data. It was also found that the coke derived from Neilburg oil and asphaltenes might have similar thermo-oxidative behaviors. Introduction It has long been recognized that in-situ combustion (ISC)might be a potentially effective enhanced oil recovery (EOR) technique, particularly suitable for medium and heavy crude oil-bearing reservoirs, as well as for steam-depleted reservoirs. However, the fact that the fundamental reaction mechanisms of the ISC process have not been completely understood makes its field performance prediction unreliable. It is generally believed that there are three major reactions during an ISC process: thermal cracking, low temperature oxidation (LTO), and high temperature oxidation (HTO). Thermal cracking of crude oil, including visbreaking and coking, produces a solid residue on the surface of the reservoir sand grains. The solid residue, or so-called coke, is consumed as the fuel for combustion. LTO reactions, which are typically heterogeneous reactions between the gas and condensed phases, involve the formation of oxygenated hydrocarbons. During an ISC process, LTO is possible if oxygen is present ahead of the combustion front, either due to the oxygen flux being relatively high or due to bypassing of the front by some of the injected oxygen. HTO is the heterogeneous (gas-solid) reactions that consume the coke deposited by thermal cracking to produce carbon oxides and water. Some efforts to investigate the oxidation reaction mechanisms during ISC can be found in the literature. An early extensive study was carried out by Dart et al. [1], who tested the combustion rate for oxidation of carbonaceous residues on clay catalyst pellets.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.050
GPT teacher head0.299
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations12
Published2005
Admission routes1
Has abstractyes

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