Numerical simulation of gas-liquid two-phase flow in channel fracture pack

Yang, Yongqiang; Wen, Quan

doi:10.1016/j.jngse.2017.03.024

Cited by 11 publications

(2 citation statements)

References 10 publications

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“…The addition of fibers to proppant particles enhances the cluster stability, whereas their addition to the fracturing fluid reduces the proppant settling velocity. Yang and Wen 4 quantified the distribution of the proppant in fractures using the channel rate.…”

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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“…In order to analyze the influence of factors such as fluid viscosity, injection speed and pulse interval time on the construction effect, Gomaa [4,5] and Li [6] simulated the distribution of proppant clusters in fractures of different sizes under the action of pulse sand addition by CFD model. Wen [7] Based on the experimental results, the calculation model of the relevant parameters was established, and the change law of the conductivity of the gas-liquid two phases under different support patterns was analyzed. The study of proppant distribution patterns in fractures shows that fractures with non-uniform proppant distribution can provide higher conductivity at the same sand concentration.…”

Section: Introductionmentioning

confidence: 99%

Effect of pulse injection on proppant distribution in fracture

Bai,

2023

AETR

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The trend of changes in proppant concentration and fracture conductivity is essentially identical. When combined with an analysis of the average conductivity of effectively propped fractures at different locations, it becomes evident that the proppant distribution pattern becomes uneven after pulse injection. However, this pattern displays a discontinuous distribution law on the macro level. Influenced by the proppant distribution pattern, fracture conductivity exhibits significant variation at different locations. During the conventional injection process, the conductivity of fractures near the wellbore gradually decreases from proximity to distance. Conversely, the proppant phase distribution during pulse injection induces fluctuation in fracture conductivity, transitioning from proximity to distance.

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Effect of proppant injection condition on fracture network structure and conductivity

Bai,

Li,

et al. 2024

Energy Science & Engineering

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The hydraulic fracturing of shale reservoirs is an important topic, and adjusting the fracturing process can enhance fracturing efficiency. To analyze the effect of injection conditions on the fracture network structure and conductivity, numerical simulations and theoretical calculations are carried out based on the construction data, and the variation patterns of the fracture network parameters are determined. During the theory study, a fracture network conductivity model was obtained by combining the fracture network expansion model and the fracture diversion model. Then a numerical model was set up according to the analysis results of monitoring data. The numerical simulation results showed the fracture network structure and proppant distribution under different conditions. Throughout the simulation process, the structural parameters and conductivity of the fracture network can be determined by controlling the injection amount and adjusting the injection method, speed, and sand ratio. Results indicated that the proppant pulse frequency during the injection process was a major factor affecting the structure and conductivity of the fracture network. At the same time, a comparison of the distribution structure of the proppant revealed that although the intermittent injection of the proppant improved the flow channel, the efficiency of fracture utilization can still be improved.

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Numerical simulation of gas-liquid two-phase flow in channel fracture pack

Cited by 11 publications

References 10 publications

Prediction of Proppant Settling Velocity in Fiber-Containing Fracturing Fluids

Prediction of Proppant Settling Velocity in Fiber-Containing Fracturing Fluids

Effect of pulse injection on proppant distribution in fracture

Effect of proppant injection condition on fracture network structure and conductivity

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