scholarly journals Numerical simulation of shear-thinning droplet impact on surfaces with different wettability

2020 ◽  
Vol 69 (6) ◽  
pp. 064702
Author(s):  
Xue-Feng Shen ◽  
Yu Cao ◽  
Jun-Feng Wang ◽  
Hai-Long Liu
SPE Journal ◽  
2021 ◽  
pp. 1-12
Author(s):  
Irfan Tai ◽  
Marie Ann Giddins ◽  
Ann Muggeridge

Summary The viability of any enhanced-oil-recovery project depends on the ability to inject the displacing fluid at an economic rate. This is typically evaluated using finite-volume numerical simulation. These simulators calculate injectivity using the Peaceman method (Peaceman 1978), which assumes that flow is Newtonian. Most polymer solutions exhibit some degree of non-Newtonian behavior resulting in a changing polymer viscosity with distance from the injection well. For shear-thinning polymer solutions, conventional simulations can overpredict injection-well bottomhole pressure (BHP) by several hundred psi, unless a computationally costly local grid refinement is used in the near-wellboreregion. We show theoretically and numerically that the Peaceman pressure-equivalent radius, based on Darcy flow, is not correct when fluids are shear thinning, and derive an analytical expression for calculating the correct radius. The expression does not depend on any particular functional relationship between polymer-solution viscosity and velocity. We test it using the relationship described by the Meter equation (Meter and Bird 1964) and the Cannella et al. (1988) correlation. Numerical tests indicate that the solution provides a significant improvement in the accuracy of BHP calculations for conventional numerical simulation, reducing or removing the need for expensive local grid refinement around the well when simulating the injection of fluids with shear-thinningnon-Newtonianrheology.


2019 ◽  
Vol 1276 ◽  
pp. 012034 ◽  
Author(s):  
S. Manigandan ◽  
Dineshkumar ◽  
Muthiaya Ramanathan ◽  
P. Gunasekar ◽  
J. Devipriya ◽  
...  

2019 ◽  
Vol 42 (4) ◽  
pp. 859-866 ◽  
Author(s):  
Hayato Masuda ◽  
Robert Hubacz ◽  
Makoto Shimoyamada ◽  
Naoto Ohmura

2020 ◽  
Vol 2020.28 (0) ◽  
pp. 111
Author(s):  
Masatoshi WATANABE ◽  
Hayato TERAISHI ◽  
Taito KOEDA ◽  
Yoshiaki HANEDA

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