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Record W2806217074 · doi:10.3968/10101

Experimental Study of the Damage of Fracturing Fluid

2017· article· en· W2806217074 on OpenAlexaffvenue
Jieqiong Xue, Yaohui Xu, Long Jiang, Yunlong Ma, Nan Zhao

Bibliographic record

VenueAdvances in petroleum exploration and development · 2017
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsFracturing fluidHydraulic fracturingPermeability (electromagnetism)Petroleum engineeringMaterials scienceGeologyGeotechnical engineeringComposite materialChemistryMembrane

Abstract

fetched live from OpenAlex

Hydraulic fracturing is an effective way to stimulate the production rate for reservoirs with low permeability. However, the infiltration of the fracturing fluid will damage the permeability of the reservoir matrix and the conductivity of the proppant pack. The commonly used HPG and CMHPG were selected to study the gel-breaking performance of the fracturing fluid with different mass concentration, and further to study the damage to the matrix and the proppant pack. Results showed that: The gel-breaking performance of CMHPG is better than that of HPG, the viscosity and the residue content of gel broken solution are significantly reduced; the solid phase damage is the main factor that causes the matrix damage. The smaller the reservoir permeability, the greater the damage rate caused by the fracturing fluid; the greater the amount of the thicker, the greater the amount of residue in the broken gel, and the greater the damage to the conductivity of the proppant pack.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.233

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 head0.015
GPT teacher head0.264
Teacher spread0.249 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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