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Record W2064755457 · doi:10.2118/137799-ms

Geochemical and Geological Characterisation of the Duvernay and Muskwa Formations in Alberta

2010· article· en· W2064755457 on OpenAlexaboutno aff
C.D. Rokosh, Steven Anderson, A.P. Beaton, Mike Berhane, J.G. Pawlowicz

Bibliographic record

VenueCanadian Unconventional Resources and International Petroleum Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyOil shaleGeochemistryResource (disambiguation)PermeameterMineral resource classificationMineralogyPaleontologySoil science

Abstract

fetched live from OpenAlex

Abstract The ERCB/AGS has collected over 270 core samples from the Duvernay and Muskwa formations in Alberta and run a series of tests to characterize the formation for resource assessment. The geochemical and geological tests include adsorption isotherm, Rock-Eval/TOC, XRD whole rock and clay mineralogy, permeameter, porosimetry, thin section analysis and SEM imaging. The purpose of this talk is to discuss the regional geological and geochemical attributes of the Duvernay and to a lesser extent the Muskwa leading to a shale gas resource assessment. An important aspect of our study is that the samples wer taken to represent a variety of lithofacies and colour variations, for example, and do not necessarily represent the best reservoi rocks. Our purpose is to reveal the attributes of rocks that have resource potential, or lack thereof, as opposed to identifying rocks with reservoir potential. The data will be presented using a series of maps and sections to show the spatial and temporal variations.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score1.000

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 head0.009
GPT teacher head0.197
Teacher spread0.188 · 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 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

Citations6
Published2010
Admission routes1
Has abstractyes

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