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Record W4206796132 · doi:10.3997/2214-4609.202229016

Basin Model Constrained Litho-Elastic Inversion: Offshore Nova Scotia Case Study

2022· article· en· W4206796132 on OpenAlexaboutno aff
Edan Gofer, S. Dasgupta, Ran Bachrach, Natasha Morrison, Keith Nunn, Matt Luheshi, R. Dmytriw

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsInversion (geology)GeologyLithologyStructural basinNova scotiaSubmarine pipelineSeismic inversionSeismologyRegional geologyCompactionGeophysicsGeomorphologyPetrologyGeotechnical engineeringTectonicsMetamorphic petrologyPhysicsMeteorology

Abstract

fetched live from OpenAlex

Summary Basin model constrained Litho-Elastic (LE) amplitude versus angle (AVA) inversion is a new technology which integrates basin modelling with seismic inversion in frontier exploration area where little well control is available. Conventional LE inversion jointly solves for elastic parameters and lithology by integrating rock physics and lithology-dependent compaction trends as a function of depth. Basin model constrained LE inversion expands the LE inversion’s capabilities to handle multi-variant rock physics trends. For example, lithology dependent compaction trends of elastic parameters as a function of both effective stress and temperature. The method uses a 3D basin model as an input to the inversion to provide geologically consistent spatial constraints to the regional effective stress and temperature estimates. In this case study we review the additional capabilities we’ve incorporated in to the LE inversion of a frontier 3D seismic data set from offshore Nova Scotia.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.445

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.241
Teacher spread0.211 · 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 routes1
Has abstractyes

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