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Record W2899657199 · doi:10.11575/prism/33125

Heat of Combustion Analysis of Residual Hydrocarbon Following In Situ Combustion Tests

2018· dissertation· en· W2899657199 on OpenAlexaboutno aff
Marta Hiromi Kamisaki

Bibliographic record

VenuePRISM (University of Calgary) · 2018
Typedissertation
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsnot available
Fundersnot available
KeywordsCombustionResidualHydrocarbonIn situEnvironmental scienceWaste managementPetroleum engineeringChemistryEngineeringComputer scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Production of Athabasca Oil Sands has always been a challenge due to its high viscosity. To produce the subsurface oil, enhanced oil recovery (EOR) is necessary. In Situ Combustion (ISC) is an EOR technique with high recovery factor but, due to the high number of reactions occurring simultaneously during application of the method, the use of computational simulators is still a challenge. Therefore, laboratory physical simulations are necessary to evaluate the viability of ISC in a specific field. These simulations are normally conducted using core samples in one-dimensional combustion tube tests to analyze the temperature profiles, pressure drops, product gas compositions and fluid production. A new 3-D physical laboratory simulator has been developed by the In Situ Combustion Research Group at the University of Calgary. The model consists of a 3-D box to evaluate ISC as a hybrid process with steam. The advantage of the 3-D model is that it provides better visualization of the process since multiple dimensional data are obtained. Post-test core samples that exhibited a significant coke bank or wall were selected from two 3-D tests which had been previously performed using cores from Athabasca Oil Sands reservoirs. Both of the 3-D tests evaluated in this research simulated a pre-production by SAGD (Steam Assisted Gravity Drainage). The 3-D boxes were packed with two distinct oil zones: Rich Zone (with a higher oil concentration) and Lean Zone (with a lower oil concentration). Lean Zone represented the area pre-produced by SAGD. After packing, the ISC process was performed with dry air (21% oxygen) injection during 3-D Test #1 and with enriched air (95% oxygen) and super-heated steam co-injection during 3-D Test #2. This current study analyzes selected samples of the post-test residual that are associated with the coke bank or coke wall in terms of the heats of combustion of residual hydrocarbon in contact with the sand, the toluene extractable oil, its fractions (maltenes and asphaltenes), as well as the toluene insoluble coke fraction remaining on the extracted core matrix. The higher O2 concentration on the injected fluid used during 3-D Test #2 might have increased the oxidation of the hydrocarbons. As a result, the heat of combustion of coke from 3-D Test #2 was found to be lower than from Test #1 (with normal air injection). Therefore, it was not possible to obtain a generalized value for the heat of combustion of coke for Athabasca Oil Sands. Coke showed to have a lower contribution to the total heat of combustion when compared to other hydrocarbon components tested (oil, maltenes and asphaltenes). For this reason, coke appears to not be the main fraction used as fuel used during In Situ combustion process. A significant finding from this study is that the residual hydrocarbon which is visually identified as the coke bank or coke wall is a mixture of maltenes, asphaltenes and toluene insoluble coke fractions. It was also observed when measuring the heat of combustion of samples that involved residual hydrocarbon plus sand that either gelatin capsules or benzoic acid was required to achieve complete combustion of the samples.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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.

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

Citations3
Published2018
Admission routes1
Has abstractyes

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