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Record W2340570380 · doi:10.1144/petgeo2015-063

A workflow for vertical and horizontal near-wellbore permeability modelling in the McMurray Formation

2016· article· en· W2340570380 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePetroleum Geoscience · 2016
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsCenovus Energy (Canada)
Fundersnot available
KeywordsGeologyWellboreEnvironmental geologyGeobiologyIgneous petrologyHydrogeologyPermeability (electromagnetism)PetrologyMetamorphic petrologyGemologyPalaeogeographyWorkflowRegional geologyEconomic geologyTelmatologyHorizontal and verticalEngineering geologyGeotechnical engineeringVolcanismPetroleum engineeringSeismologyTectonicsGeodesyDatabaseComputer science

Abstract

fetched live from OpenAlex

The McMurray Formation is the most volumetrically important source of bitumen in the Canadian oil sands. While there are many parameters that affect prediction of bitumen recovery in commercial in situ oil sand projects, absolute permeability is the most important geological parameter. In this paper, we describe a customized near-wellbore modelling workflow for the estimation of vertical and horizontal permeability in the McMurray Formation using high-resolution microresistivity images. All steps required to calculate permeability logs calibrated to core plug measurements are documented and detailed. To show a general applicability of the method, a case study of several wells from the Cenovus Energy Inc. (Cenovus) Foster Creek project is presented. The wells are specifically selected to be different in terms of facies, their characteristics and interval lengths.

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 score0.410
Threshold uncertainty score0.187

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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