MétaCan
Menu
Back to cohort
Record W2093924802 · doi:10.2118/136512-ms

Partial Upgrading of Bitumen at SAGD Wellsite

2010· article· en· W2093924802 on OpenAlexaff
H. Fukuyama, T. Nakamura, Atsushi Ikeda

Bibliographic record

VenueCanadian Unconventional Resources and International Petroleum Conference · 2010
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsCanada’s Oil Sands Innovation Alliance
FundersShandong Academy of Sciences
KeywordsAsphaltRefineryPetroleum engineeringCrackingNatural gasEnvironmental scienceBoiler (water heating)Waste managementSteam injectionOil sandsOil refineryProcess engineeringEngineeringMaterials science

Abstract

fetched live from OpenAlex

ABSTRACT The high-conversion soaker cracking (HSC) process, an advanced continuous thermal cracking, has been used commercially for more than 20 years at a refinery converting heavy oil to valuable lighter distillates. The residue from the process is the heaviest liquid fuel in the world and is used for a boiler at the refinery. The application of HSC was studied as a partial upgrader at a SAGD wellsite to improve the transportability of bitumen using thermal cracking for the reduction of diluent volume and replacement of natural gas with the cracked residue from the HSC process for steam generation at the boiler. The advantage of HSC was examined by conducting thermal cracking tests using Athabasca bitumen. Material balances of the integrated SAGD and HSC for different SORs were calculated to obtain blended oils with API 21 for pipeline transportation. The calculated values were compared with the material balance of the standalone SAGD, based on the results of the test. The economic study of SAGD/HSC integrated process compared with the standalone SAGD showed that the IRR of the integrated SAGD/HSC was less volatile to the WTI and the natural gas market price. The economic benefit of partial upgrading of bitumen at the wellsite was more pronounced for higher prices of WTI and natural gas.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score0.999

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)0.0090.000

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 head0.013
GPT teacher head0.233
Teacher spread0.220 · 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 designNot applicable
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

Citations6
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Unconventional Resources and International Petroleum ConferenceSame topicPetroleum Processing and AnalysisFrench-language works237,207