Field-Scale Simulation on Multi-Slug Proppant Transport in a Propagating Fracture via Modified Perkins-Kern-Nordgren-Carter (PKN-C) Model and Particle Tracking Algorithm

During hydraulic fracturing operations in unconventional low-permeability reservoirs, non-Newtonian fracturing fluids are commonly injected with multi-slug proppants of varying particle sizes; however, efficiently representing the coupled evolution of such proppant transport at field-scale remains challenging. In this work, a computationally efficient framework is developed to simulate and evaluate proppant transport dynamics within a propagating fracture by modifying the Perkins-Kern-Nordgren-Carter (PKN-C) model and coupling it with a parcel-based Lagrangian particle-tracking algorithm. The framework incorporates not only empirical correlations derived from laboratory measurements to represent concentration-dependent fluid rheology, hindered settling, and bed-load transport, but also a modified width solution accounting for stress anisotropy and wellbore radius to represent realistic fracture morphology and quantify geometric fracture permeability/conductivity distributions conditioned to multi-slug proppant dynamics. Following its validation against experimental measurements and field-scale observations, a sensitivity analysis of 14 scenarios is performed. Proppant transport is found to be highly path-dependent, and dynamic fluid property scheduling produces more spatially uniform conductivity architectures than constant scheduling within the studied cases. A sequential injection of larger particles followed by smaller ones generates a foundational dune that facilitates transport of subsequent particles, yielding more favourable conductivity architectures than the reverse sequence within the studied parameter ranges. Overall, the proposed framework enables field-scale evaluation of multi-slug proppant transport dynamics and spatially variable conductivity in a propagating fracture by addressing several limitations (e.g., a single particle size, constant fluid viscosity, isotropic formation stress and fixed fracture dimensions) that were normally assumed with conventional models.

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Publication Details

Journal
Computers and Geotechnics
Published
2026-07-27
DOI
https://doi.org/10.1016/j.compgeo.2026.108443
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Field-Scale Simulation on Multi-Slug Proppant Transport in a Propagating Fracture via Modified Perkins-Kern-Nordgren-Carter (PKN-C) Model and Particle Tracking Algorithm

Daoyong Yang, Yue Wang, Yanan Ding
Computers and Geotechnics
Hydraulic Fracturing and Reservoir Analysis
article

Field-Scale Simulation on Multi-Slug Proppant Transport in a Propagating Fracture via Modified Perkins-Kern-Nordgren-Carter (PKN-C) Model and Particle Tracking Algorithm

Daoyong Yang, Yue Wang, Yanan Ding
article en

Abstract

During hydraulic fracturing operations in unconventional low-permeability reservoirs, non-Newtonian fracturing fluids are commonly injected with multi-slug proppants of varying particle sizes; however, efficiently representing the coupled evolution of such proppant transport at field-scale remains challenging. In this work, a computationally efficient framework is developed to simulate and evaluate proppant transport dynamics within a propagating fracture by modifying the Perkins-Kern-Nordgren-Carter (PKN-C) model and coupling it with a parcel-based Lagrangian particle-tracking algorithm. The framework incorporates not only empirical correlations derived from laboratory measurements to represent concentration-dependent fluid rheology, hindered settling, and bed-load transport, but also a modified width solution accounting for stress anisotropy and wellbore radius to represent realistic fracture morphology and quantify geometric fracture permeability/conductivity distributions conditioned to multi-slug proppant dynamics. Following its validation against experimental measurements and field-scale observations, a sensitivity analysis of 14 scenarios is performed. Proppant transport is found to be highly path-dependent, and dynamic fluid property scheduling produces more spatially uniform conductivity architectures than constant scheduling within the studied cases. A sequential injection of larger particles followed by smaller ones generates a foundational dune that facilitates transport of subsequent particles, yielding more favourable conductivity architectures than the reverse sequence within the studied parameter ranges. Overall, the proposed framework enables field-scale evaluation of multi-slug proppant transport dynamics and spatially variable conductivity in a propagating fracture by addressing several limitations (e.g., a single particle size, constant fluid viscosity, isotropic formation stress and fixed fracture dimensions) that were normally assumed with conventional models.

Computers and GeotechnicsVol. 200
American Petroleum Institute (US), University of Regina (CA), China University of Petroleum, East China (CN)
China Scholarship Council, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 17%
Hydraulic Fracturing and Reservoir Analysis
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