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Record W2322159248 · doi:10.1190/segam2013-0307.1

Case study of a CSEM false positive—Orphan Basin, Canada

2013· article· en· W2322159248 on OpenAlexaboutno aff
G. A. Gist, Adrian Ciucivara, Rich Houck, Mike Rainwater, Denny Willen, Jinjuan Zhou

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyStructural basinComputer scienceGeomorphology

Abstract

fetched live from OpenAlex

Inversion of a CSEM survey over a seismically mapped prospect in the Orphan Basin shows high vertical resistivity in the prospective fault block. The combination of high resistivity with low acoustic impedance below the target horizon was interpreted to indicate hydrocarbon presence, but a well found no hydrocarbons and low vertical resistivity. Detailed analysis of the well logs shows that the high vertical resistivity seen on the CSEM inversions was caused by thin, carbonate-cemented layers with very high resistivity that was underestimated by the vertical resistivity log. Probabilistic rock physics modeling of the depth interval around the target reservoir shows that, while the observed vertical resistivity is consistent with the well outcome (wet reservoir), it is more supportive of hydrocarbon bearing reservoir. For this prospect, properties of the non-net have introduced an ambiguity that results in a false positive despite having an accurate estimate of vertical resistivity.

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 score0.744
Threshold uncertainty score0.997

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)0.0040.000

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 head0.013
GPT teacher head0.218
Teacher spread0.204 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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