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Record W2313209603 · doi:10.2118/180000-ms

Perched Water Static Model

2016· article· en· W2313209603 on OpenAlexaff
T. A. Rolfsvag, Thomas M. Danielsen

Bibliographic record

VenueSPE Bergen One Day Seminar · 2016
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsGeologyWater reservoirSaturation (graph theory)Waves and shallow waterCapillary pressurePetroleum reservoirWater saturationWater cutHydrology (agriculture)Geotechnical engineeringPetroleum engineeringOceanographyPorous mediumPorosity

Abstract

fetched live from OpenAlex

Abstract Perched water occurs when oil invades a reservoir and eventually traps pools of water at the bottom of the reservoir. The pools of perched water are separated laterally. When the reservoir is unsegmented and in equilibrium, with both water and oil being continuous phases, the saturation curves have to be identical in the upper part of the reservoir. However, the water pressure is increased inside the trap due to the push of the invading oil. As long as the reservoir rock is water-wet, water will try to escape the trap through the continuous water film on the rock surface. The escaping water will have to overcome the capillary pressure building up from the new shallow free water level inside the perched water pool. The perched water pool will become stable at an elevated pressure compared to the water in the main body of the reservoir.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0190.002

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 head0.019
GPT teacher head0.220
Teacher spread0.202 · 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 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

Citations9
Published2016
Admission routes1
Has abstractyes

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