MétaCan
Menu
Back to cohort
Record W2164537896 · doi:10.1190/tle33040414.1

Understanding potential pressure regimes in undrilled Labrador deep water by use of global analogues

2014· article· en· W2164537896 on OpenAlexaffabout
Sam Green, Stephen O’Connor, A. Edwards, J. E. Carter, D. Cameron, Ralph Wright

Bibliographic record

VenueThe Leading Edge · 2014
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsNalcor Energy (Canada)
Fundersnot available
KeywordsGeologySubmarine pipelineOil shaleOverpressureStructural basinPore water pressureDeep waterPetroleumSeismologyOceanographyPetroleum engineeringPaleontologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract In recent years, new deepwater seismic-based exploration work has resulted in the revision of existing basin boundaries and identification of new, potentially oil-bearing basins in the deepwater Labrador region. The petroleum potential in this deepwater area has also been encouraged by the identification of slick and seepage locations using 2D seismic data and satellite imagery. The importance is that surface slicks possibly are related to subsurface hydrocarbon migration. Thus, all recent data collated together show strong evidence for an active petroleum system in deep water. Many of the wells in shallow water have been drilled with low mud weights, suggestive of low pore pressures. However, where thick shale packages are present, significant overpressure is observed by significant kicks. Clearly, there is a close association between thick (and deep) shale packages and high pore pressure. Thus, one of the key risks in developing the deepwater potential is to understand the pressure regime. The success of this approach has been highlighted recently by successful discoveries such as the presalt Lulu field onshore Brazil and associated discoveries in Gabon and Angola and postsalt discoveries that include Jubilee field offshore Ghana and the associated discovery of Zaedyus field in French Guiana. The deepwater Vøring Basin of the Mid-Norway North Sea and the Labrador slope and deep water share a similar passive margin setting to each other, similar facies associations, and structural development.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.274

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)0.0000.000

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 head0.031
GPT teacher head0.224
Teacher spread0.193 · 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 designSimulation or modeling
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

Citations4
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueThe Leading EdgeSame topicHydrocarbon exploration and reservoir analysisFrench-language works237,207