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Record W2742113848

CORE ANALYSIS ISSUES IN HEAVY OIL RECOVERY USING VAPEX

2005· article· en· W2742113848 on OpenAlexaboutno aff
Lesley James, Ioannis Chatzis

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsViscosityPetroleum engineeringAsphaltEnhanced oil recoveryExtraction (chemistry)Environmental scienceSolventSolvent extractionOil fieldOil productionMaterials scienceWaste managementChemistryGeologyChromatographyEngineeringComposite material
DOInot available

Abstract

fetched live from OpenAlex

recovery using solvent based processes for in-situ recovery of very viscous and bitumen is an emerging new technology in Canada. The core analysis and testing of process conditions has not been standardized yet. This paper aims to provide a review of the various studies that aimed to collect lab-scale data and upscale the results to field-scale conditions. A summary of the research results obtained in our laboratory over the past three years are presented and discussed. Results obtained in our research and by others demonstrate that heavy recovery experiments in long enough systems are desirable for predicting production rates. Analysis of production history shows that the dispersion coefficient is orders of magnitude larger than the diffusion coefficient measured in stagnant heavy oil. INTRODUCTION our EXtraction (VAPEX) is an enhanced recovery technique developed primarily by Canadian researchers, for the recovery of Canada's vast heavy reserves. Conventional recovery practices can not be used for the production of heavy and bitumen because the viscosity of heavy is too high and it does not readily flow under normal reservoir conditions. The viscosity of heavy is generally between 1000 mPa.s and 10,000 mPa.s while the viscosity of bitumen is greater than 10,000 mPa.s. The primary driving forces in VAPEX are the mass transfer of the solvent into the heavy followed by the gravity drainage of the oil (viscosity reduced heavy containing the dissolved solvent) to the production well. Normally, the VAPEX process is represented with two horizontal wells; the upper one used for solvent injection and the lower one for producing the live oil. First, the solvent is injected into the injection well where it diffuses through the heavy primarily in the upward direction until it encounters an impermeable barrier zone, the rock. The diffusion of the solvent into the heavy oil/bitumen reduces the oil's viscosity, thus mobilizing it under the force of gravity to the production well. Upon encountering the cap rock, the solvent continues to diffuse into the heavy but in an outwards direction in a continuous cycle of solvent diffusion into the heavy oil, viscosity reduction and live drainage. Figure 1 shows the live being mobilised by the solvent diffusing into it due to the concentration difference of the solvent. As the live with significant solvent in it drains, a new layer of heavy is exposed to the solvent phase at the VAPEX interface. The new layer is subjected to the same mass transfer driving force that continues the cycle of essentially peeling away layers of heavy oil. In this manner, the VAPEX interface advances through the permeable zone saturated with heavy oil. VAPEX technology competes with Steam Assisted Gravity Drainage (SAGD) technology which is currently used for heavy recovery. At present, there have been no VAPEX field trials in

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.290
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations1
Published2005
Admission routes1
Has abstractyes

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