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Record W2773462559 · doi:10.11575/prism/27168

Oil Oxidation and Adiabatic Compression as Ignition Sources in Oilfield Operations

2016· dissertation· en· W2773462559 on OpenAlexfundno aff
Ehsan Panjeshahi

Bibliographic record

VenuePRISM (University of Calgary) · 2016
Typedissertation
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Association of Petroleum ProducersUniversity of Calgary
KeywordsIgnition systemPetroleum engineeringAdiabatic processCompression (physics)Environmental scienceWaste managementNuclear engineeringEngineeringMaterials scienceThermodynamicsPhysicsAerospace engineeringComposite material

Abstract

fetched live from OpenAlex

Well interventions or work-overs are generally a safe operation, however there are areas where an explosion might occur in surface equipment during the process, causing Health, Safety, and Environmental (HSE) hazards and damages to surrounding equipment and the environment. The source of these explosions often remains a mystery as they are initiated inside the process piping under conditions where there is no obvious source of oxygen and often no obvious ignition mechanism. The In-situ Combustion Research Group (ISCRG) believes that trapped pockets of air in contact with immobile hydrocarbons, accumulated in surface equipment, could be the source of ignition. These accumulations under the right temperature conditions such as during a hot summer day could raise the temperature of the trapped pocket of air and immobile hydrocarbon high enough to exceed the Self-ignition Temperature (SIT) of the immobile hydrocarbon and initiate the generation of flammable liquid and vapor phase components through spontaneous liquid phase oxidation (LTO) reactions. Therefore, the objective of this dissertation was to analyze the ignition and self-heating characteristics of oxidized oils in order to better understand LTO-initiated explosions. Three (3) different oil samples (Athabasca bitumen, a paraffinic light oil, and diesel as a refined product) were chosen. Twelve (12) High Pressure Isothermal Oxidation (HPIO) tests were performed to oxidize the oil samples in the batch reactors at temperatures of 25°C, 50°C, 75°C, and 100°C, by keeping them in contact with normal air (21% O2 and 79% N2) at a nominal pressure of 7 MPa for the period of seven days. Seven (7) Accelerating Rate Calorimeter (ARC) tests were conducted on original (un-oxidized) and selected oxidized oil samples to determine the ignition and self-heating characteristics. The major finding of the study was that two of the oil types (Oil B – light paraffinic crude oil and Oil C - diesel) exhibited oxidation characteristics that could lead to explosive events. Both of these hydrocarbons exhibited increased maximum reaction rates when they were pre-oxidized. The third sample, Oil A or Athabasca bitumen exhibited easily observable oxygen uptake rate at 75°C, but it is unlikely that the bitumen would support an explosive event during a well work-over operation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.682

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.206
Teacher spread0.200 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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