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Record W2184354879

Recent impacts of light olefin demands on refining processes

2008· article· en· W2184354879 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue19th World Petroleum Congress · 2008
Typearticle
Languageen
FieldEngineering
TopicProcess Optimization and Integration
Canadian institutionsSemtech (Canada)
Fundersnot available
KeywordsPetrochemicalOil refineryNaphthaRefining (metallurgy)RefineryRaw materialWaste managementCrackingEnvironmental scienceProcess engineeringEngineeringChemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Global demand for light olefins (ethylene and propylene) points to strong prospects for growth, stimulating investments in overall productive capacity. With propylene demand growing slightly faster than that of ethylene, rising prices and difficulties in supplies of petrochemical feedstocks such as naphtha or natural gas, steam crackers alone are not able to fill the light olefins gap nor do they allow extraordinary margins. As petrochemical market dynamics also influence refining activities, there has been significant progress in the development of technologies for petrochemical refining, leading to a larger degree of integration between the refining and petrochemical industries. This integration offers great opportunities for synergism since both industries share many common challenges, like increasing process efficiency, meeting more severe environmental requirements and optimizing the use of utilities. New specifications for fuels also contribute to this approximation since additional olefinic and aromatic hydrocarbon streams will become available in refineries. Petrochemical FCC is an example of advances in petrochemical refining. Based on a higher severity operation of the traditional FCC, it permits high ethylene and propylene yields, besides producing highly aromatic naphtha. However, to take full advantage of the opportunity to add value to non-conventional oils (which tend to increase in importance in oil markets) while to still have enough feedstock for cracking, deep conversion and treatment processes should also be present in refining schemes. Refinery off-gases correspond to another alternative feedstock for petrochemicals. Thus, a refinery (originally projected for production of fuels) has become an alternative source of petrochemicals, making possible the conception of petrochemical refineries that may be integrated or not to a petrochemical complex. This paper provides an overview of the recent impacts of light olefin demands on refining processes as well as an update of the refining-petrochemistry scenario in the world.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.229
Teacher spread0.214 · 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