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Record W2051035680 · doi:10.2118/2009-092

A New Approach to Simulation of the Boundary Layer in the Vapor Extraction Process

2009· article· en· W2051035680 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCanadian International Petroleum Conference · 2009
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCMG Reservoir Simulation Foundation
KeywordsProcess (computing)Computer scienceLayer (electronics)Extraction (chemistry)Process engineeringMaterials scienceEngineeringChemistryNanotechnologyChromatographyProgramming language

Abstract

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Abstract The vapor extraction (VAPEX) process, as a non-thermal process, may be suitable for the recovery of heavy oil and bitumen. In this process, the injected solvent diffuses into the heavy oil/bitumen, reduces its viscosity, and drains it to the producing well. The VAPEX process is more acceptable than other processes due to its environmental friendliness, low capital and operating costs, and suitability for thin reservoirs. Most of the efforts in the modeling of the VAPEX process have concentrated on the application of fluid flow equations to the solvent and the diluted oil inside each grid block used in the simulation of VAPEX. This is adequate when very fine grid blocks are chosen to simulate the process where the boundary layer (transition zone) occurs over a number of grid blocks. Fine grid blocks, however, require a large amount of simulation time, which is not applicable for field-scale simulation even with today's computing power. To deal with this problem, we introduce a new approach that is based on the application of the fluid flow equations to three phases: solvent, diluted oil, and heavy oil/bitumen. With this approach, it becomes possible to have mobile solvent, mobile live oil, and immobile or slow moving heavy oil/bitumen inside a grid block. The main feature of the proposed model is its ability to capture the boundary layer within a grid block, making very fine grid blocks unnecessary in the simulation of the VAPEX process. In addition, this approach can be applied to modeling viscous fingering inside grid blocks. Introduction Heavy oil and bitumen reserves as an alternative to conventional oil reservoirs have attracted increasing attention in recent years. The magnitude of heavy oil and bitumen resources is about six trillion barrels of oil, which are about six times the total conventional oil reserves[1]. There are different techniques for recovery of these huge resources but one of the techniques which is attractive in thin reservoirs, low permeability carbonate reservoirs, and the reservoirs underlain by aqcuifers and/or gas cap is the vapor extraction (VAPEX) process. The VAPEX process is a solvent analogue of Steam- Assisted Gravity Drainage (SAGD) in which a steam chamber is replaced by a hydrocarbon vapor chamber. In this process, which was developed by Butler and Mokrys in 1991 [2,3], a vaporized solvent is injected through an upper horizontal injection well into a heavy oil reservoir. The solvent-diluted oil, which is the heavy oil with its reduced viscosity, is then drained downward by gravity to a lower horizontal production well. Therefore, the production rates are directly related to the viscosity reduction, which in turn depends on the amount of solvent dissolved in the crude. The important benefit of this process is the potential to upgrade the oil in-situ[4] resulting from asphaltenes deposition. The two important mechanisms in VAPEX [5,6] are (1) mixing of fluids and (2) asphaltene precipitation. The mixing of heavy oil and solvent depends on the dispersion and capillary forces.

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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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.579
Threshold uncertainty score1.000

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)0.0000.000

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 head0.030
GPT teacher head0.290
Teacher spread0.260 · 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