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Record W4414280062 · doi:10.5724/gcs.37.300

Salt Tectonics and Hydrocarbon Accumulations Trapped on Diapir Flanks in the Lusitanian Basin, Portugal

2019· book-chapter· en· W4414280062 on OpenAlexaboutno aff
Ian Davison, Pedro Barreto

Bibliographic record

VenueGulf Coast Section SEPM eBooks · 2019
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies Worldwide
Canadian institutionsnot available
Fundersnot available
KeywordsDiapirOverburdenSalt tectonicsSalt domeTectonicsStructural basinOverprintingEvaporiteShield

Abstract

fetched live from OpenAlex

Abstract Salt movement in the Lusitanian basin has significantly affected sedimentation in the onshore portion of the basin. We show that salt diapirism initiated soon after deposition of the salt in the Hettangian and that diapirism was active throughout the Jurassic and Cretaceous periods. Strong Alpine-age inversion produced squeezing of the diapirs and folding and faulting in the overburden around the salt structures. Large upturned flanks of overburden sediments were produced and constitute good potential traps for hydrocarbon accumulations. We describe two upturned diapir flanks which are superbly exposed on coastal cliffs. Both the São Pedro de Moel and Santa Cruz structures contain tar-saturated reservoirs, trapped against salt diapir walls. We interpret these to be exhumed but now biodegraded, oil accumulations. The São Pedro de Moel structure is estimated to contain >85 million barrels of tar and demonstrates that there is a commercially viable hydrocarbon system in the basin, although most of the traps onshore have been breached during inversion. This has positive implications for the deeper offshore Lusitanian and Peniche basins, as well as the conjugate Carson-Bonnition basin in Newfoundland. To our knowledge these are the only documented examples of exposed hydrocarbon accumulations trapped against salt diapir flanks and could represent the first bygone oil accumulations described in the Lusitanian basin.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.996

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 integrity0.0000.001
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 head0.022
GPT teacher head0.209
Teacher spread0.188 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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