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Record W2076246970 · doi:10.2118/117821-ms

Evaluation of SAGD Performance in a Deltaic Environment

2008· article· en· W2076246970 on OpenAlexaff
Mark L. Caplan, Caroline Heron, Laura Sullivan, Emeline Herle, Jesse Keith, Andrea Bernal, Ian Atkinson

Bibliographic record

VenueInternational Thermal Operations and Heavy Oil Symposium · 2008
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsAthabasca University
FundersNorthwestern University
KeywordsSedimentary depositional environmentOil sandsGeologyChannel (broadcasting)AsphaltGeochemistryPetroleum engineeringGeomorphologyEngineeringStructural basinArchaeologyGeography

Abstract

fetched live from OpenAlex

Abstract The depositional setting of the McMurray Formation within the main Athabasca fairway has been extensively studied by industry and is well documented in the literature. Much crown land in this easternmost part of the Athabasca Oil Sands Area (AOSA) is currently being drilled and geologically characterised with the aim of in-situ thermal extraction methods, such as SAGD. Reservoirs in this region consist of tidally-influenced channel sands and open estuarine tidal sand bars. There are, however, new plays being discovered in the northwestern part of the AOSA that represent strikingly different depositional environments. Athabasca Oil Sands Corp. (AOSC) holds extensive oil sands assets in this western region of AOSA, and has discovered thick, good quality bitumen pay within the McMurray Formation. Depositional environments of the McMurray Formation in this region contrast significantly to those reservoirs located within the main fairway to the east. This paper will describe the depositional environment, the building of a numerical simulation model to represent this reservoir, and the results of simulation studies predicting the performance of SAGD behaviour in this particular depositional setting.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.310

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 head0.028
GPT teacher head0.267
Teacher spread0.239 · 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 designSimulation or modeling
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

Citations0
Published2008
Admission routes1
Has abstractyes

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