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Record W2930935562 · doi:10.1016/j.undsp.2018.12.005

Modeling hydraulic fracture in heterogeneous rock materials using permeability-based hydraulic fracture model

2019· article· en· W2930935562 on OpenAlex
Ming Li, Peijun Guo, Dieter Stolle, Li Liang, Yitao Shi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueUnderground Space · 2019
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsMcMaster University
FundersFundamental Research Funds for the Central UniversitiesNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsHydraulic fracturingPermeability (electromagnetism)Finite element methodDiscretizationGeologyFracture (geology)Geotechnical engineeringMechanicsStructural engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

Hydraulic fracturing is one of the most important techniques for enhancing oil/gas production. The permeability-based hydraulic fracture (PHF) model, which is based on the smeared-crack method and considers the interaction between the pore pressure and solid phase, is adopted in the present study for a fully-coupled simulation of the hydraulic fracture in a heterogeneous rock formation. The level set method (LSM), which is used to describe the distribution of material properties of heterogeneous rocks, is coupled with the PHF model. Using the coupled PHF–LSM model, a series of finite element method (FEM) simulations are carried out to investigate the characteristics of a hydraulic fracture (e.g., the breakdown pressure and fracture propagation) in heterogeneous rocks. Three types of heterogeneous rocks are examined: layered rock, rock with distributed inclusions, and rock with random spatial variations in the material properties. The results of the numerical simulations show that the coupled PHF–LSM model can describe the material interface without changing the FEM mesh used to discretize the physical domain. Further, the model effectively simulates hydraulic-fracturing problems for various heterogeneous rocks.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.319
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.228
Teacher spread0.216 · 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