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Record W4412989958 · doi:10.56952/arma-2025-0791

Laboratory Ultrasonic Measurements on Cambrian Sands: Implications for Seismic Monitoring in Deep CO2 Sequestration Projects

2025· article· en· W4412989958 on OpenAlexaffabout
Douglas R. Schmitt, A.P. Wendel, Jennifer Nycz, R. Kofman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsNorth American Construction Group (Canada)
Fundersnot available
KeywordsGeologyCarbon sequestrationUltrasonic sensorMining engineeringSeismologyPetroleum engineeringAcousticsCarbon dioxideEcology

Abstract

fetched live from OpenAlex

ABSTRACT: Basal Cambrian sandstones lie directly above the crystalline craton in many of the basins of North America. Their depth and petrophysical characteristics make these formations prime zones for long term geological sequestration of CO2 Active source seismic monitoring to track evolution of CO2 plumes will generally be required. Full use of the seismic data, however, requires knowledge of how the seismic responses change with saturation state and effective stress. We have recently completed P and S wave velocity measurements on a suite of Cambrian sandstone cores from the Deadwood Formation in the Williston Basin, Saskatchewan. This contribution focuses on the experimental techniques developed to make measurements. Samples were subject to confining pressures up to 60 MPa, and pore fluid pressures up to 17 MPa under both inert N2 and distilled water saturations. P wave velocities at the highest confining pressures are largely insensitive to saturation state. In contrast, S-wave velocities show significant variation highlighting the influence of bulk saturated density. This difference between P- and S-wave behavior may need to be considered during development of seismic monitoring strategies.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.041
GPT teacher head0.283
Teacher spread0.241 · 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 designBench or experimental
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
Published2025
Admission routes2
Has abstractyes

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