MétaCan
Menu
← Back to cohort
Record W4312652907 · doi:10.3997/2214-4609.2022617016

Rock Physics Case Studies of Western Canada Unconventional Plays

2022· article· en· W4312652907 on OpenAlexaffabout
A. Mustaqeem, V. Baranova

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsGeologyDevonianPetrophysicsOil shalePetrographyLithologyCretaceousGeomechanicsBoreholeWell loggingDrillingPetrologyInversion (geology)Mining engineeringPetroleum engineeringPaleontologyGeotechnical engineeringPorosity

Abstract

fetched live from OpenAlex

Summary Canada has been the second largest unconventional oil and gas producer. The target rocks of unconventional shale/silt/carbonate plays span over 300 million years in geological time from Devonian to Cretaceous. Understanding the elastic parameters of these shale plays and comparing them to the existing production is important and have become critical for drilling sweet spots. Petrophysical and petrographic analysis provide a good insight to the lithology and clay content but does lack the understanding of geomechanics, stresses and fracture distribution. Elastic properties analysis of the well logs through Lambda-Rho vs Mu-Rho crossplots and other calibrated modulii allows interpreters to derive equivalent rock physics properties through pre-stack inversion. Three case studies will be presented starting from Devonian calcareous shale followed by Triassic deep water shales and ending with silty source rock shales of Cretaceous age. The goal of these studies is to understand the critical information that can be derived from well logs for successful commercial production.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.238
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

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 designObservational
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
Published2022
Admission routes2
Has abstractyes

Explore more

Same topicSeismic Imaging and Inversion Techniques→French-language works237,207→