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Record W3122854810 · doi:10.1306/13401724h53591

Overpressure in Shale Gas

2013· article· en· W3122854810 on OpenAlexaboutno aff
Jean-Yves Chatellier, Pawel Flek, Marianne Molgat, Irene Anderson, Kevin Ferworn, Nabila Lazreg Larsen, Steve Ko

Bibliographic record

VenueAmerican Association of Petroleum Geologists eBooks · 2013
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOverpressureGeologyPetroleum engineeringOil shaleShale gasReservoir engineeringGeochemistryPetroleum

Abstract

fetched live from OpenAlex

Abstract A study of up to 2.5 km (8000 ft) of gas-bearing shale has shed new light on the relationship between geochemistry and overpressure. Our analysis of a few large geochemical data sets has also identified alternative ways to look at down-hole pressures and has revealed some limitations of currently available tools, such as Rock-Eval pyrolysis below a certain depth in Alberta and Quebec. The very thick Ordovician Shale of the St. Laurence Lowlands in Quebec is gas-bearing and prospective. While the prime target is the carbonate-rich Utica Shale, the overlying and thick Lorraine Shale was also studied. Recent Quebec geochemical data from the St. Lawrence Lowlands was analyzed together with hydraulic fracture and reservoir pressure data from the same wells. The first phase of the study focused exclusively on vertical wells and delivered new insights with respect to pressure domains and fracture gradients.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.633

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 head0.003
GPT teacher head0.190
Teacher spread0.187 · 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 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

Citations15
Published2013
Admission routes1
Has abstractyes

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