MétaCan
Menu
Back to cohort
Record W2782952311 · doi:10.2118/189841-ms

Proppant Transport by a High Viscosity Friction Reducer

2018· article· en· W2782952311 on OpenAlexaff
Yuebo Hu, David J. Fisher, Pious Kurian, Ron Calaway

Bibliographic record

VenueSPE Hydraulic Fracturing Technology Conference and Exhibition · 2018
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsNalco (Canada)
Fundersnot available
KeywordsGuarRheologyViscosityGuar gumShear thinningMaterials scienceApparent viscosityReducerGeotechnical engineeringComposite materialPetroleum engineeringEnvironmental scienceGeologyChemistryMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract Because of potential reduced cost and improved retained conductivity, high viscosity friction reducers (HVFRs) are becoming increasingly popular in hydraulic fracturing stages where linear or crosslinked guar gels are traditionally used. However, concerns remain regarding the proppant transport capability of HVFRs relative to that of traditional linear gels. To address these concerns, the proppant transport capability of a polyacrylamide-based HVFR is compared with that of linear guar at cost-parity concentrations. Correlation between the proppant transport capability and rheological properties of the fluids, including viscosity and elasticity, is also discussed. A slot flow device was used to visualize the proppant transport performance of each fluid. The fluid concentrations ranged from 2.25 to 4.5 gpt (gallons per thousand gallons) for the HVFRs and 15# to 30# (pounds per thousand gallons) for guar, which were matched to achieve cost-parity between the two classes of fluids. The proppants used were 30/50, 20/40, and 12/20 mesh sand at 2 ppg (pounds per gallon) loading. Comprehensive rheological properties of the carrier fluids were characterized under steady-state and oscillatory shear and correlated with the observed proppant transport behavior. At least two sand transport mechanisms were observable in the slot flow tests. Small sand particles remained suspended in the fluid and were transported by convection. Large sand particles settled quickly, but top layers of the settled particles crept forward at a slower speed. The HVFR showed significantly better sand transport efficiency than guar at cost-parity concentrations despite the fact that the HVFR had a lower viscosity at high shear rates. The improved sand transport performance may be attributed to two factors: first, sand particles were suspended for a longer time in the HVFR because of its elevated viscosity at lower shear rates in the center of the slot; second, the HVFR's increased elasticity in the high shear regime near the wall further enhanced sand suspension by providing an elastic lifting force to hinder sand settling. The elastic effect on sand settling is estimated to be much larger than the viscous effect for the HVFR investigated herein but is neglibile in guar. Field results validated the capability of the HVFR to carry proppants, including 20/40 mesh coarse sand, in situations where traditional slickwater FRs and linear guar gel failed. This study demonstrated that the HVFR has superior proppant transport capability, relative to guar, at cost-parity concentrations despite having lower viscosity at high shear rates. The results indicate that the proppant transport performance of fracturing fluids correlates better with their elasticity and low shear viscosity than the high shear viscosity. Additionally, the findings provide much needed proppant transport data for field engineers to make rational choices for the selection of fracturing fluids.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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 designBench or experimental
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

Citations63
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueSPE Hydraulic Fracturing Technology Conference and ExhibitionSame topicRheology and Fluid Dynamics StudiesFrench-language works237,207