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Record W3084618297

1LA-5 : Conceptual design study of Canadian oil sands production process

2018· article· ko· W3084618297 on OpenAlexaboutno aff
김용헌, 서유석, 김민준, 조소현, 박종인

Bibliographic record

Venue한국공업화학회 연구논문 초록집 · 2018
Typearticle
Languageko
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsOil sandsProduction (economics)Process (computing)Conceptual designTrack (disk drive)Environmental scienceGeologyEngineeringComputer scienceGeographyMechanical engineeringAsphaltArchaeologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

캐나다 지역을 중심으로 생산되고 있는 오일샌드의 개발에 있어서, 비튜멘 추출 공정, 지상 Upgrading 공정등으로 이루어진 단위공정을 최적화하고, 생산정에 투입되는 원료와 회수정에서 생산되는 제품 등에 대한 물질·에너지 흐름을 최적화하기 위한 통합공정 설계 및 패키지화 기술에 대한 연구이며, 새로운 지역의 실증플랜트를 건설하기 위한 개념설계 단계의 연구이다. 오일샌드 통합 공정 설계/운영 기술은 기존 중동중심의 오일가스 플랜트 기술 경향을 다각화 할 수 있는 기술로서, 분자량이 높은 탄화수소의 추출생산기술과 수송가능 수준의 Partial Upgrading 기술, 그리고 현장의 원료, 유틸리티의 연계 공정에 대한 고효율 최적화 기술이 필요하다. 오일샌드 통합 공정 설계 및 운영 기술은 플랜트 설치의 Track Record로 향후 기업들의 극한지 지역 수주 참여에 도움이 될 수 있다.

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: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.628

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.055
GPT teacher head0.300
Teacher spread0.245 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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