Hindered Settling of Fiber Particles in Viscous Fluids

Jirout, Tomáš; Jiroutová, Dita

doi:10.3390/pr10091701

Cited by 5 publications

(1 citation statement)

References 17 publications

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“… 18 The interaction between fibers and macromolecular chains in the fiber fracturing fluid can also increase the mechanical resistance of the particles. Jirout and Jiroutová 19 conducted systematic experiments and calculated the correlation between the hindered settling velocity of a cloud of non-isometric particles and a high-viscosity and pseudoplastic liquid. Peng et al 20 conducted experimental studies on proppant flowback control using fibers of varying lengths.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Proppant Settling Velocity in Fiber-Containing Fracturing Fluids

Bai,

2023

ACS Omega

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Hydraulic fracturing is the main stimulation method in the development of oil and gas fields. It is helpful to predict the fracture support effect during fracturing by calculating the settling velocity of particles in the fracturing fluid. Experimental research shows that fibers mixed into the fracturing fluid can improve the performance of suspended sand. In this study, fiber was considered a solvent in the fracturing fluid, and the constitutive model of the fiber-containing fracturing fluid was modified according to the fluid rheology. From the analysis of the mechanical behavior in the fibercontaining fluid, the settling velocity of particles slowed down because of some reasons. First, the viscosity of the fiber-containing fracturing fluid increased significantly. The other mechanism is the resistance mechanism of the fiber acting on the particle. The apparent viscosity was fitted based on the rheological model and the measurements. Then, the drag coefficient model of the settling particles was built according to the rheological data of the fibrous fluid. A semi-empirical model was developed to predict the terminal settling velocity through research on dynamics. By characteristic analysis of the results, we found that the fiber on the settling velocity is closely related to the concentration of the base fluid. This prediction model is suitable for the base fluid and fiber-containing fracturing fluid, and the average relative difference between the prediction model and measurements was acceptable.

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Section: Introductionmentioning

confidence: 99%

Prediction of Proppant Settling Velocity in Fiber-Containing Fracturing Fluids

Bai,

2023

ACS Omega

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A high‐performance stretchable strain sensors with hierarchically gradient morphology of filler network

Zhang,

Xiang,

Liu

et al. 2024

J of Applied Polymer Sci

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In recent years, stretchable strain sensors have received increasing attention in areas such as human motion detection and soft robotics. However, how to simultaneously improve the sensitivity and operating range of them remains one of the most important challenges. In order to solve this challenge, in this study, nickel‐coated graphite (NCG)/carbon nanotubes (CNTs) hybrid conductive networks of stretchable strain sensors PNCs with graded degree of sedimentation were constructed in PDMS using the sedimentation method. Due to the difference in packing density and packing morphology, NCG mainly stays in the middle and lower layers, forming a partially‐sedimented state, whereas the CNTs are close to uniformly dispersed, and such partially settled NCG network is especially critical. Based on this, the obtained composite PNCs have high sensitivity, with a GF value as high as 1.48 × 104 in the 0%–25% strain range and an operating range of 224.8%, which achieves a good recognition and detection of the full range of human body movements. This work provides a new process for the preparation of high‐performance stretchable strain sensors.

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