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Record W2034826421 · doi:10.1190/1.2780782

Simulation of permeability and geomechanical anisotropy in fractured reservoirs

2007· article· en· W2034826421 on OpenAlexaff
Vikram Sen, A. Settari

Bibliographic record

VenueThe Leading Edge · 2007
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPermeability (electromagnetism)GeologyAnisotropyGeomechanicsPetroleum engineeringGeotechnical engineeringPetrologyChemistryPhysics

Abstract

fetched live from OpenAlex

Naturally fractured reservoirs are found in most major hydrocarbon provinces of the world including the Middle East, North Africa, North and South America, and the North Sea. They are generally defined as reservoirs where the flow of hydrocarbons is influenced by an interconnected system of macroscopic planar discontinuities created by natural processes (e.g., tectonic forces or physical diagenesis). These reservoirs present special challenges for development and exploitation and require an understanding of the interactions between the fractures and the background reservoir rock (i.e., the matrix). The geomechanical and reservoir properties of both fractures and rock matrix can vary widely, and one must recognize and account for these properties on a case-by-case basis. In general, enhancement of permeability is usually attributed to the fracture networks while the matrix is associated with storage capacity. But there are exceptions to this general rule, and in highly crystalline rocks, fractures may provide a majority of the porosity. The behavior of fracture systems over the life of a field can lead to prolific producers or disappointing underperformers.

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)0.002
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: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.265
Teacher spread0.251 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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