MétaCan
Menu
Back to cohort
Record W4280589517 · doi:10.2118/209411-pa

New Insights into the Understanding of In-Situ Combustion: The Nature of the Fuel and the Role of Operating Pressure

2022· article· en· W4280589517 on OpenAlexaff
D. Gutiérrez, D. G. Mallory, R.G. Moore, S. A. Mehta, Matthew Ursenbach, Andrea Bernal

Bibliographic record

VenueSPE Journal · 2022
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCokeCombustionCrackingResidual oilPetroleum engineeringLight crude oilDistillationSecondary air injectionPyrolysisThermalFlammable liquidFuel oilCarbonizationEnvironmental scienceWaste managementNuclear engineeringMaterials scienceChemistryMetallurgyThermodynamicsGeologyComposite materialOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Summary Historically, the air injection literature has stated that the fuel for the in-situ combustion (ISC) process is the carbon-rich, solid-like residue resulting from distillation, oxidation, and thermal cracking of the residual oil near the combustion front, commonly referred to as “coke.” At first glance, that assumption appears sound, because many combustion tube (CT) tests reveal a “coke bank” at the point of termination of the combustion front. However, when one examines both the laboratory results from tests conducted on various oils at reservoir conditions and historical field data from different sources, the conclusion may be different from what has been assumed. For instance, CT tests performed on light oils, at elevated pressures, rarely display any significant sign of coke deposition, which would make them poor candidates for air injection; nevertheless, they have been some of the most successful ISC projects. An analysis of different ramped temperature cracking (RTC) and ramped temperature oxidation (RTO) experiments performed on oil samples ranging from 6.5 to 38.8 °API, at reservoir pressures, indicates that thermal cracking and oxidation do not tend to generate enough coke to sustain the ISC process in light oil reservoirs. Similarly, peak temperatures observed during RTO and CT tests performed on lighter oils, at high pressures, were below the levels required to be associated with the combustion of coke. Instead, RTC and RTO experiments indicate that flammable vapors are also generated and can be consumed as fuel, in a behavior that is consistent across the entire oil density spectrum. Such vapor fuel appears to be the result of oxidative and thermal cracking of original and oxidized oil fractions. Therefore, while coke may form as a result of low-temperature oxidation of heavy oil fractions, and while thermal cracking of those fractions on the pathway to coke may produce vapor components that may themselves burn, the coke itself is not necessarily the main fuel for the process, particularly for lighter oils. This paper presents new insights regarding the nature of the fuel utilized by the ISC process and the role played by the different hydrocarbon phases present. It discusses the fundamental aspects associated with the proposed theory, and it summarizes the laboratory evidence and the field evidence which support the concept. This new theory does still share much common ground with the current understanding of the ISC process, but with a twist. The new insights result from the analysis of laboratory tests performed on lighter oils at reservoir pressures; data that were not available at the time the original ISC concepts were developed. This material suggests a change to one of the most important paradigms related to the ISC process, which is the nature of the fuel. This affects the way we understand the process but provides a unified theory, which is important for the modeling efforts and overall development of the technology.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.227
Teacher spread0.218 · 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

Citations12
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueSPE JournalSame topicPetroleum Processing and AnalysisFrench-language works237,207