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Record W2548265674

Seismic modeling of fluid substitution in Redwater Reef, Alberta

2009· article· en· W2548265674 on OpenAlexaboutno aff
Taher M. Sodagar, Don C. Lawton

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySaturation (graph theory)ReefAmplitudeDevonianMineralogySeismologyWell controlPetrologyDrillingPaleontologyOceanographyMaterials scienceOpticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

The objective of this study is to analyze and undertake seismic modeling of CO2 saturation of the Devonian Leduc reservoir characterization at the Redwater reef by using Gassmann fluid substitution seismic modeling. This method was applied to the available wells inside the reef. Zero-offset synthetics were created for these wells before and after fluid substitution. A distinct P-wave velocity decrease occurs from 0% to about 40% of CO2 saturation. From around 40% to 100% of CO2 saturation, the P-wave velocity starts increasing slightly, while the S-wave velocity increases almost linearly with the CO2 saturation increase. There are slight changes in amplitudes between the wet in-situ reservoir reflections and the fluid substitution modeling reflections of Leduc formation. A time shift is observed at the base of the Leduc reservoir. The maximum time shift at the base of the Leduc reservoir and the highest amplitude difference changes are recognized at around 40% of CO2 saturations.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.450
Threshold uncertainty score0.905

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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 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
Published2009
Admission routes1
Has abstractyes

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