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Record W2516271799 · doi:10.1190/segam2016-13960523.1

A multicomponent 3D seismic data study from an oil sands field, Alberta, Canada

2016· article· en· W2516271799 on OpenAlexaffabout
Bobby Gunning, Don C. Lawton, Helen Isaac

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOil sandsOil fieldField (mathematics)GeologyPetroleum engineeringMining engineeringArchaeologyGeographyAsphalt

Abstract

fetched live from OpenAlex

Oil sands in the Athabasca region of Alberta are a major hydrocarbon resource. Kelly and Lawton (2012) utilized time-lapse seismic data to study the McMurray formation in the Athabasca region with a detailed geological interpretation of their pre-steam baseline survey. Isaac (1996) processed and interpreted multicomponent 3D seismic data in a heavy oil field in Northeast Alberta, obtaining excellent converted wave volumes. In this project, a multicomponent 3D seismic dataset is used to image and characterize an Athabasca oil sands field. The data provided consists of fully processed PP seismic data, and three-component raw seismic data. The PP data is used for an initial, full volume interpretation including: picking several key reflection horizons, well log ties and post-stack impedance inversion. Joint processing of the PP and PS components is currently underway with promising PS reflectivity being observed. Presentation Date: Wednesday, October 19, 2016 Start Time: 1:55:00 PM Location: 170/172 Presentation Type: ORAL

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.993

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.030
GPT teacher head0.232
Teacher spread0.201 · 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.

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
Published2016
Admission routes2
Has abstractyes

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