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Record W2039626568 · doi:10.2118/2004-028-ea

The Effect of Bitumen Extraction Shear Conditions on Froth Treatment Performance

2004· article· en· W2039626568 on OpenAlexafffundabout
U.G. Romanova, M. Valinasab, E.N. Stasiuk, Harvey W. Yarranton, Laurier L. Schramm, W.E. Shelfantook

Bibliographic record

VenueCanadian International Petroleum Conference · 2004
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsSyncrude (Canada)Saskatchewan Research Council (Canada)University of Calgary
FundersSyncrude
KeywordsAsphaltExtraction (chemistry)Shear (geology)Environmental sciencePetroleum engineeringGeotechnical engineeringGeologyMaterials scienceComposite materialChemistryChromatography

Abstract

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Introduction One of the goals in oil sands development is to process poorer quality oil sands while reducing energy consumption. To achieve this goal, it is necessary to optimize the two main stages of oil sands processing: extraction and froth treatment. The most common extraction process is hot water bitumen extraction where bitumen is produced in a froth consisting of bitumen, water, and inorganic solids. The froth is treated in a second stage to separate the bitumen. There are currently two commercialized froth treatment processes in Alberta, here termed the "Syncrude Process" and the "Albian Process". In the Syncrude process, the froth is diluted with naphtha to decrease the density and viscosity of the bitumen and to promote coalescence of emulsified water. Phase separation is achieved with centrifuging. The Albian process, a paraffinic solvent is added to the froth to reduce the bitumen density and viscosity, and to promote flocculation of the emulsified water and suspended solids. Some asphaltenes are also precipitated to achieve a product suitable for a conventional refinery. Phase separation is achieved with gravity settling. In both processes, it is desirable to reduce energy costs and minimize the water and solids content of the product bitumen. In the past, research has aimed to optimize each stage in isolation. Now we are seeking to establish the relationship between bitumen extraction conditions and froth treatment effectiveness for different quality oil sands. Hence, the optimization of the overall process can be evaluated. In this work, the effect of shear conditions during bitumen extraction is considered. Overall bitumen recovery and the water and solids content of the product bitumen are determined for a low shear and a high shear extraction process. EXPERIMENTAL A high quality (HQOS) and a low quality (LQOS) oil sand samples were obtained from Syncrude Canada Ltd. The bitumen, water, and solids contents were determined at the Syncrude Research Centre, as reported elsewhere(1), and are given in Table 1. Oil sand quality is assessed in terms of bitumen and fine solids content. Poorer quality oil sand froths have lower oil content and higher contents of water and solids. Table 1. Oil sands composition Available in full paper) Bitumen extractions were performed using a Batch Extraction Unit (BEU) or a Denver Cell (DC)following the Syncrude standard extraction procedures(1). The BEU is a low-shear laboratory approximation of the Clark hot water extraction process and typically produces a froth similar to that obtained from the traditional commercial process with conditioning and separation stages. The DC is a higher shear flotation apparatus and produces a froth that is more similar to that obtained from a commercial process with hydrotransport and separation stages. Extractions were performed at 50 and 80 °C and sodium hydroxide was added to improve the bitumen recovery. Subsamples of froth from the extractions were collected and assayed for oil, water and solid contents using the "Syncrude method"(2,3). Only primary froth was used for froth treatment experiments.

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 score0.331
Threshold uncertainty score0.990

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 head0.011
GPT teacher head0.254
Teacher spread0.243 · 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".

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Citations1
Published2004
Admission routes3
Has abstractyes

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