MétaCan
Menu
Back to cohort
Record W2913900176 · doi:10.1144/petgeo2018-099

Bedding-scale geomodelling for effective permeability estimation in the Upper McMurray Formation, NE Alberta, Canada

2019· article· en· W2913900176 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.

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

VenuePetroleum Geoscience · 2019
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsGeologyMetamorphic petrologyTelmatologyHydrogeologyPalaeogeographyPermeability (electromagnetism)BeddingEconomic geologyIgneous petrologyGeobiologyEnvironmental geologyRegional geologyEngineering geologyGeochemistryGeotechnical engineeringPaleontologyVolcanismTectonicsChemistry

Abstract

fetched live from OpenAlex

The McMurray Formation is one of the most significant bitumen deposits in Canadian oil sands. Bitumen-bearing sand intervals deposited and reworked in fluvial, tidal or estuarine environments result in heterogeneous sediment distributions comprising clean sands and low-permeability muddy laminae or mud drapes. These interlayers increase the difficulty in estimating reservoir permeability, which is a critical geological parameter to predict the performance of in situ thermal processes of the oil sands projects. In this paper, we describe a bedding-scale geomodelling and simulation workflow using core images, core-plug and Vshale logs to estimate the effective permeability ( K h , K v ) in the Upper McMurray Formation. Details of five steps in this workflow are presented. To show the general applicability of this workflow, three pay-zone facies from tidal-channel infilled deposits of the Mackay River Project, CNPC, were selected to demonstrate this sedimentary process mimicking bedding-scale geomodelling strategy. The results of effective permeability estimation have the potential to improve history matching in flow simulations and performance forecasting.

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)0.001
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 score0.294
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.206
Teacher spread0.201 · 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