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Record W1975000225 · doi:10.2118/2003-010-ea

Towards the Improvement of the Efficiency of Oil Sands Froth Treatment

2003· article· en· W1975000225 on OpenAlexafffundabout
U.G. Romanova, Harvey W. Yarranton, Laurier L. Schramm

Bibliographic record

VenueCanadian International Petroleum Conference · 2003
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsSaskatchewan Research Council (Canada)University of Calgary
FundersSyncrude
KeywordsOil sandsPetroleum engineeringGeologyEnvironmental scienceMaterials scienceAsphaltComposite material

Abstract

fetched live from OpenAlex

Introduction Over fifteen million cubic meters per annum of synthetic crude are produced in Alberta from the mined oil sands. The production is projected to increase to nearly one million barrels per day by 2011(1). As high quality ore deposits are depleted, it will be necessary to rocess poorer quality ores; that is ores with less bitumen and more fines. At the same time, it is desirable to reduce the process energy requirements. There are two main stages to 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. Poorer quality oil sand froths have lower oil content and higher contents of water and solids(2). 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 has been tested at the pilot scale and the commercial process is now under construction. In this 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. The two froth treatment processes are investigated in this work using laboratory scale approximations. The goal is to identify the optimum solvent-to-bitumen ratios and temperatures for the effective treatment of froth produced from oil sands of various qualities. The effective of the treatment is assessed in terms of bitumen recovery and the water content of the bitumen product. EXPERIMENTAL Oil sand samples of three different qualities were obtained from Syncrude Canada Ltd. (Table 1). The bitumen, water, and solids contents as were determined at the Syncrude Research Centre as reported elsewhere(3). According to these parameters, the oil sands are termed low- (LQOS), average- (AQOS) and high-quality ores (HQOS) Bitumen froth was extracted from the oil sand using a batch extraction unit (BEU) at 80 °C and following the Syncrude standard extraction procedure(3). Subsamples of froth from the batch extractions were collected and assayed for oil, water and solid contents using the "Syncrude method"(3). Only primary froth was used for froth treatment experiments because of the low amount of secondary froth. For bitumen extraction from HQOS and AQOS, no chemicals were used. For LQOS, sodium hydroxide was used. The maximum bitumen recovery of almost 100% was achieved with the addition of approximately 0.025 wt% NaOH (on an oil sand basis). The effect of NaOH addition during extraction was also investigated for the low quality oil sand froth. Different NaOH levels from 0 to 0.125 wt% were considered.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
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 science0.0010.000
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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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 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".

Quick stats

Citations3
Published2003
Admission routes3
Has abstractyes

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