MétaCan
Menu
Back to cohort
Record W2074590478 · doi:10.2118/117759-ms

Investigation of Low Pressure ES-SAGD

2008· article· en· W2074590478 on OpenAlex
John Ivory, Rong Zheng, T.N. Nasr, Xiaohui Deng, Gilles Beaulieu, G. Heck

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Thermal Operations and Heavy Oil Symposium · 2008
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsVaporizationSteam injectionVolume (thermodynamics)Petroleum engineeringSuperheated steamDissolutionSolventFlashingMass transferChemistrySaturation (graph theory)Materials scienceEnvironmental scienceThermodynamicsWaste managementGeologyBoiler (water heating)ChromatographyMetallurgyEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract SAGD is a commercially proven technology for Athabasca reservoirs. It produces high oil rates and high ultimate recoveries. Injecting a solvent with the steam can reduce required steam rates and/or improve oil rates and recovery. Oil viscosity is reduced both thermally and by solvent dissolution. A scaled model experiment was performed at the Alberta Research Council to examine the effectiveness of the Expanding Solvent-SAGD (ES-SAGD) process at a low pressure (1,500 kPa), which was still high enough to allow sufficient drive to transport the produced fluids to the surface at typical Athabasca formation depths. A lower SAGD pressure typically results in reduced oil production as a result of the correspondingly lower steam temperature. However, a lower operating pressure can also result in a reduced SOR because of lower steam density (lower mass of steam required to fill a specific volume of the steam chamber) and also a higher heat of vaporization, which allows more heat to be transferred to the reservoir when a given mass of steam is condensed. At lower pressures, the steam saturation temperature changes more quickly with saturation pressure than it does at higher pressures. Thus, at low pressure, a small reduction in pressure can lead to steam flashing in the producer and create unstable conditions. This experiment was history matched and then a parametric investigation was performed based on field scale numerical simulations using CMG STARS. The same solvent (gas condensate) and solvent concentration (9.3 volume%) were used in the lab and field scale simulations. The condensate had many components, which were represented in the numerical simulations by four pseudo-solvent components. 2-D and 3-D field scale simulations examined the effect of: operating pressure, injection rate, sub-cool, oil and gas phase diffusion and dispersion, live oil versus dead oil performance, use of pressure drawdown when oil rates have declined, and compared low pressure ES-SAGD to low pressure SAGD. The simulations indicated that the effects of production pressure, sub-cool, and solvent concentration must be considered simultaneously as they impact each other. At 1,500 kPaa production pressure and 10 °C sub-cool, co-injection of solvent with steam increased the average oil rate by 15% while reducing the SOR as compared to SAGD at the same operating pressure.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.401

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 head0.011
GPT teacher head0.220
Teacher spread0.209 · 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