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Record W2046344872 · doi:10.2118/2003-055

Petrochemicals From Oil Sands

2003· article· en· W2046344872 on OpenAlexaffabout
M. P. du Plessis, Tom McCann

Bibliographic record

VenueCanadian International Petroleum Conference · 2003
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsPetrochemicalCitationOil refineryOil sandsPetroleumPetroleum industryLibrary scienceEngineeringBusinessComputer scienceWaste managementArchaeologyGeographyChemistryAsphaltEnvironmental engineering

Abstract

fetched live from OpenAlex

Abstract Alberta's oil sands plants can be an abundant source of petrochemical feedstocks, potentially capable of supporting new world-scale plants producing ethylene, propylene, benzene, para-xylene, and other high-valueadded derivatives. These products can be produced by integrating existing and new oil sands upgrading plants, refineries and petrochemical plants using proven technologies and emerging technologies that can be commercialized within the next 5 to 10 years. The paper describes the results of a joint industry/government study that identify viable integration schemes for producing petrochemicals from oil sands, which if implemented, could lead to major long-term industrial development in Alberta and provide significant sustainable wealth to the province. Using Alberta Industrial Heartland's chemical complexes and infrastructure as a model, the study shows that a practical three-stage integration plan is both technically and economically feasible, assuming new product pipelines from Northern oil sands plants to Edmonton and from Edmonton to Vancouver. Technology gaps, requiring further research development and demonstration have been identified. Strong Alberta based collaborative Research and Development and Demonstration support will be essential. Key factors necessary for successful integration include commitment by different levels of government and industry to a common vision and a long-term strategic plan to facilitate profitable integration of the different complexes and infrastructure. Objectives This study set out to identify opportunities for the synergistic development of oil sands and petrochemical industries through cost effective integration of oil sands, upgrading, refining and petrochemical developments in the 2005 to 2020 time frame. Alberta's petrochemical industry developed rapidly during the 1980 and 90's based on abundant supply of low cost ethane from Natural Gas Liquids (NGL's). New high pressure "wet gas" pipelines, high natural gas prices and projected diminishing gas production from the Western Canadian Sedimentary Basin raise concerns about sustainable supplies of competitively priced NGL feedstocks essential for the future growth of Alberta's petrochemical industry. Consequently a major consideration for the study was to evaluate new feedstocks from Alberta's vast oil sands resources to supplement NGL's from Alberta and new Northern gas developments. This concept of supplementing and diversifying petrochemical feedstocks is illustrated in fig.1. Having both gas and oil sands feedstock options should increase the long term competitiveness of Alberta's petrochemical industry. In addition, co-production of fuels and petrochemicals creates higher value products and new markets for oil sands plants. Appropriate research and development to support such development were identified Project Definition In this joint industry-government study, Industry was represented by NOVA Chemicals, Shell Chemicals, and Suncor Energy and Government by AERI, Alberta Economic Development and Alberta Energy. Workshops were used to assess the knowledge gaps between the current state and the desired future state. Objectives were developed to bridge the gaps. The vision from the workshops was then used to provide the necessary direction and framework for the petrochemicals from oil sands case study. Alberta's Industrial Heartland with its established infrastructure was selected as the geographical region for the conceptual integrated oil sands- petrochemical complex.

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: none
Teacher disagreement score0.935
Threshold uncertainty score0.989

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.000

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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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

Citations2
Published2003
Admission routes2
Has abstractyes

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