Experimental study on the viscoelastic behaviors of debris flow slurry

Wang, Yuyi; Tan, Rongzhi; Hu, Kaiheng; Chen, Feiyue; Yang, Hongjuan; Zhang, Jinshan; Lv, Juan

doi:10.1007/s11629-012-2266-0

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…Complex viscosity η* was an indicator of deformation that resists external forces in a viscoelastic fluid. The value of η* can be calculated by eq where the value of η′ represents the viscous behavior of the fluid, and η′′ represents the elastic behavior of the fluid . The complex viscosity is shown in Figure .…”

Section: Results and Discussionmentioning

confidence: 99%

“…The value of η* can be calculated by eq 7 η η η * = ′ + ″ (7) where the value of η′ represents the viscous behavior of the fluid, and η′′ represents the elastic behavior of the fluid. 58 The complex viscosity is shown in Figure 11. The result showed that with frequency increased from 0.1 to 10 Hz, the complex viscosity decreased linearly from 10 5 to 10 3 Pa•s, but the value was relatively high.…”

Section: Resultsmentioning

confidence: 99%

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Rheological Properties of Hydrate Slurry Formed from Mudflows in South China Sea

Liu

Zhang

et al. 2021

Energy Fuels

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Solid fluidization is a current promising method to explore hydrate resources. The rheological properties of hydrate slurry are significant to solid fluidization and prevent hydrate blockage during pipeline transportation. To determine the impact of hydrate on the rheological properties of mudflow, a rheological experiment was conducted on methane hydrate slurry formed from a mudflow, which was prepared with marine sediment sampled from South China Sea. It was found that both mudflow and hydrate slurry exhibited viscoelastic fluid properties. The existence of hydrate substantially increased the apparent viscosity of the mudflow, and when the hydrate formed at a rapid rate, the apparent viscosity rose rapidly. With different initial pressures, the amount of hydrate formed in mudflow was different. A larger water conversion rate would increase the viscosity of the hydrate slurry significantly. Meanwhile, a yield stress measurement was conducted by stress sweep after hydrate formation. When the water conversion fractions were 17.8%, 20.3%, and 21.2%, the yield stresses of the hydrate slurry were 57.8, 465.2, and over 10,000 Pa, respectively. In addition, a frequency test sweep was conducted, and the results showed that the existence of hydrate would significantly increase the elasticity of the slurry.

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Section: Results and Discussionmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Rheological Properties of Hydrate Slurry Formed from Mudflows in South China Sea

Liu

Zhang

et al. 2021

Energy Fuels

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“…On the contrary, if the rheological response of the system is viscous-dominated (G 0 < G 00 ), it will tend to be viscoelastic liquid. [25] The CR mode was employed in the steady-state shearing experiments. The shear rates were ranged from 0.01 to 200 s À1 .…”

Section: Rheological Characterization Of Bulk Solutionmentioning

confidence: 99%

Stability Comparison Between Particles-Stabilized Foams and Polymer-Stabilized Foams

De-hu

Hou

Luo

et al. 2013

Journal of Dispersion Science and Technology

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The enhanced oil recovery (EOR) results of foam flooding depend largely on the stability of foam flow within porous reservoirs. To stabilize foams, polymers such as partially hydrolyzed polyacrylamide are often introduced into the foaming agent. However, particles-stabilized foams have been paid more attentions in recent years. To investigate the better stabilizer for foam application in EOR, experimental stability comparison between polymer-stabilized foams and clay particles-stabilized foams was investigated. To do this, the static stability of bulk foams was studied by half-life of foams and rheological behavior of foaming agent solution. The dynamic stability of two types of compressed foams in porous media was then compared with blocking ability. Results showed that particles-stabilized bulk foams were more stable than polymer-stabilized bulk foams, and the viscoelasticity of surfactant-particles solution was higher. Moreover, blocking ability of particles-stabilized foams was also better than that of polymer-stabilized ones.

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“…Therefore, it is very important to take effective measures to reduce the particulate content in oil to improve the performance stability of oil and the safety of system operation. So far, the studies on particulate in oil have mainly focused on the monitoring and control of oil pollution [1][2][3], the measurement and characterization of pollution degree [4,5], etc., however, the studies on the interaction between particulate and oil have been less reported.…”

Section: Introductionmentioning

confidence: 99%

Prediction of particulate content in oil based on SPA vibration feature selection

Liu¹,

Bin²

2022

Scientia Iranica

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Aiming at the non-stationary characteristics of oil pressure vibration signals containing particulate, a method for predicting particulate content in oil was proposed based on vibration characteristic frequency extraction by vibrational mode decomposition (VMD), variable selection using successive projections algorithm (SPA) and T_S fuzzy identification combined. Firstly, the pressure vibration signal was decomposed by VMD and a series of narrow-band characteristic frequency matrices were obtained. Then, variables were selected using SPA to construct the feature vector matrix. Finally, the feature vector matrix was used as the input of T_S fuzzy identification to identify the content of particulate in oil. The results showed that the VMD reconstruction of the original oil sample pressure signals could well characterize the main variation of the original signal; the 19 variables were selected from the characteristic frequency of the vibration signal from the oil pressure using SPA, the 19 pressure vibration characteristic frequency of 11 sample sets SPA selected was taken as the input variable of T_S identification model; for each set of sample, the predicted output of the content of particulate in oil was obtained, model prediction decision coefficient is 0.8637, the root mean square error is 0.1979, a reasonable prediction effect was obtained.

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Experimental study on the viscoelastic behaviors of debris flow slurry

Cited by 5 publications

References 5 publications

Rheological Properties of Hydrate Slurry Formed from Mudflows in South China Sea

Rheological Properties of Hydrate Slurry Formed from Mudflows in South China Sea

Stability Comparison Between Particles-Stabilized Foams and Polymer-Stabilized Foams

Prediction of particulate content in oil based on SPA vibration feature selection

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