Computational Fluid Dynamics Modeling of Proppant Transport in a Plug and Perf Completion With Different Perforation Phasing

Zhang, Jinlin; Dunn-Norman, Shari

doi:10.15530/urtec-2015-2169184

Cited by 6 publications

(4 citation statements)

References 16 publications

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“…Several numerical cases were simulated by varying the viscosity of the carrier fluid, the slurry injection rate, and the proppant. Zhang and Dunn-Norman 3 conducted a simulation study to examine the transport and distribution of the proppant by increasing the number of perforations at each cluster from 1 SPF to 6 SPF. Their study used 0.42-in.…”

Section: Introductionmentioning

confidence: 99%

Proppant Distribution Prediction between Perforation Clusters Using Fresh Water in a Horizontal Wellbore

Alajmei

2023

ACS Omega

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In multistage, multicluster treatments, distributing the proppant evenly among the multiple perforation clusters is considered one of the key challenges. Uneven proppant distribution in multiple clusters can significantly affect fracture conductivity, which in turn severely affects the well's productivity. Dimensional analysis using the Buckingham π-theorem was utilized to develop the experimental correlations using the experimental data. The laboratory tests data of 100 mesh brown and 40/70 mesh white sands (SG of 2.65) at various proppant concentrations, injection rates, and with various perforation configurations were combined and used to develop the correlation. This paper offers a newly developed experimental correlation for the proppant distribution that may be utilized to forecast the distribution of proppant between various clusters in the multistage, multicluster stimulation. Such correlations are essential to be considered in future hydraulic fracturing treatment designs, as they offer insightful information and aid in optimizing the projected proppant distribution across several perforation clusters within a single hydraulic fracturing stage. Thus, the multistage, multicluster horizontal wellbore achieves uniform proppant distribution between the various perforation clusters.

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Section: Introductionmentioning

confidence: 99%

Proppant Distribution Prediction between Perforation Clusters Using Fresh Water in a Horizontal Wellbore

Alajmei

2023

ACS Omega

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“…The outcome of this research was modeled using CFD, and several simulation iterations were considered by examining different injection rates, various proppant properties, and multiple fluid viscosities . Furthermore, the proppant distribution was investigated experimentally with smaller-scale horizontal wellbores with different pipe diameters and perforation designs. – Zhang and Dunn-Norman analyzed the impact of altering the number of the perforation in a single cluster and its orientation on the proppant distribution.…”

Section: Introductionmentioning

confidence: 99%

“… 12 Furthermore, the proppant distribution was investigated experimentally with smaller-scale horizontal wellbores with different pipe diameters and perforation designs. 13 – 17 Zhang and Dunn-Norman 18 analyzed the impact of altering the number of the perforation in a single cluster and its orientation on the proppant distribution.…”

Section: Introductionmentioning

confidence: 99%

Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage

Alajmei

2023

ACS Omega

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One of the greatest challenges in stimulating a single hydraulic fracturing stage with multiple clusters is ensuring that the proppant is equally distributed across all clusters. In this paper, the Buckingham pi theorem was applied to implement a dimensional analysis to establish an empirical correlation. The experimental correlation was developed by acquiring and integrating the data of various independent variables, such as different proppant characteristics (i.e., size, density, and concentration), using a wide range of internal diameters of the horizontal wellbore and multiple perforation configurations, and utilizing many carrier fluids with different viscosities. This work presents a newly enhanced experimental correlation for the distribution of proppants by incorporating the effect of gravity on proppant particles. The correlation proved its reliability in forecasting the proppant distribution with an average percentage error of less than 10%. The developed correlation has the potential to serve as a tool for forecasting proppant distributions among multiple clusters in multistage hydraulic fracturing treatments in the field.

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“…In addition to experimental studies, numerical simulation has also become a widely used method to study particle packing with the development of computational fluid dynamics. − Numerical simulation methods for proppant migration are generally divided into Eulerian–Lagrange methods and Eulerian–Eulerian methods. The Euler–Lagrangian method treats the fluid as a continuous phase and solves the Navier–Stokes equations while treating the particles as a discrete phase, coupled through the exchange of mass, momentum, and energy.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on Proppant Transport in Supercritical Carbon Dioxide under Different Fracture Shapes: Flat, Wedge-Shaped, and Bifurcated

Xie

Kang

et al. 2022

Energy Fuels

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As a new type of waterless technology, supercritical carbon dioxide fracturing has been widely studied by scholars in recent years, and the migration characteristics of the corresponding proppant in supercritical carbon dioxide still need further research. In this paper, the Eulerian–Eulerian computational fluid dynamics method was used to study the transport capacity of supercritical carbon dioxide, and the UDF method was used to simulate the physical parameters of supercritical carbon dioxide. In view of the deficiencies of previous studies, the special cases of wedge-shaped fractures and bypass fractures are considered, and the influence of large-span pressure and temperature on migration is first analyzed in plane fractures, which makes this study more complete. The results show that: (1) compared with slickwater, the proppant transport channel in supercritical carbon dioxide is 30% smaller at 305 K and 10 MPa. (2) The transport capacity of supercritical carbon dioxide increases with the increase of pressure and decreases with the increase of temperature. But when the pressure or temperature is too high, they have little effect on it. (3) In wedge-shaped fractures, the proppant stack height and length increase initially as the shrinkage rate of fracture width (the ratio of the fracture reduced width to the fracture length) increases. However, as the fracture width ratio increases, the maximum proppant stack height decreases in the later stage. (4) In bifurcated fractures, with the increase of bypass angle, the area of proppant in the bypass zone tends to decrease. The width of the bypass inlet has little effect on the proppant settlement in the bypass. This study further understands the migration law of proppant in supercritical carbon dioxide in fractures.

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Computational Fluid Dynamics Modeling of Proppant Transport in a Plug and Perf Completion With Different Perforation Phasing

Cited by 6 publications

References 16 publications

Proppant Distribution Prediction between Perforation Clusters Using Fresh Water in a Horizontal Wellbore

Proppant Distribution Prediction between Perforation Clusters Using Fresh Water in a Horizontal Wellbore

Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage

Numerical Study on Proppant Transport in Supercritical Carbon Dioxide under Different Fracture Shapes: Flat, Wedge-Shaped, and Bifurcated

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