Parallel Tool for Solution of Multiphase Flow Problems

Author(s):  
Raimondas Čiegis ◽  
Alexander Jakušev ◽  
Vadimas Starikovičius
Author(s):  
Charles L. Britton

A physical description and the operating characteristics for a multiphase flow test facility are given. The facility is designed for wet-gas conditions where the gas-void-fraction (GVF) is typically greater than 0.95. However under many conditions, the liquid flowrate can be increased which results in a lower GVF. Lean natural gas, whose typical energy content is less than 1100 BTU/ft3, is used as the flowing gaseous media. The flowing liquid can range from a pure hydrocarbon liquid (such as decane) to a mixture of water and hydrocarbon liquids (condensate). Several investigations into the performance of various single-phase flowmeters and gas-liquid separators have been conducted for wet-gas flowing conditions. Present work includes the modification of the test facility to study hydrate formation and methods that can be employed to inhibit the hydrate formation. Visual images obtained with a high-pressure viewing section will be presented which show the different flow patterns that can exist within pipes that are contain multiphase fluids.


2020 ◽  
Vol 17 (5) ◽  
pp. 1298-1317
Author(s):  
Sepideh Palizdan ◽  
Jassem Abbasi ◽  
Masoud Riazi ◽  
Mohammad Reza Malayeri

Abstract In this study, the impacts of solutal Marangoni phenomenon on multiphase flow in static and micromodel geometries have experimentally been studied and the interactions between oil droplet and two different alkaline solutions (i.e. MgSO4 and Na2CO3) were investigated. The static tests revealed that the Marangoni convection exists in the presence of the alkaline and oil which should carefully be considered in porous media. In the micromodel experiments, observations showed that in the MgSO4 flooding, the fluids stayed almost stationary, while in the Na2CO3 flooding, a spontaneous movement was detected. The changes in the distribution of fluids showed that the circular movement of fluids due to the Marangoni effects can be effective in draining of the unswept regions. The dimensional analysis for possible mechanisms showed that the viscous, gravity and diffusion forces were negligible and the other mechanisms such as capillary and Marangoni effects should be considered in the investigated experiments. The value of the new defined Marangoni/capillary dimensionless number for the Na2CO3 solution was orders of magnitude larger than the MgSO4 flooding scenario which explains the differences between the two cases and also between different micromodel regions. In conclusion, the Marangoni convection is activated by creating an ultra-low IFT condition in multiphase flow problems that can be profoundly effective in increasing the phase mixing and microscopic efficiency.


2009 ◽  
Author(s):  
Tareq Mutlaq Al-Shaalan ◽  
Hector Manuel Klie ◽  
Ali H. Dogru ◽  
Mary Fanett Wheeler

2004 ◽  
Vol 92 (9-11) ◽  
Author(s):  
Maarten Saaltink ◽  
Francisco Batlle ◽  
Carlos Ayora ◽  
Jesús Carrera

SummaryThis paper discusses issues on time stepping and time weighing when simulating reactive transport in time dependent multiphase flow problems. It proposes to solve the flow and transport equation with different time increments. We analyze how the time varying flow properties should be evaluated in order to obtain correct solute mass balances. The proposed algorithm is illustrated by an example that models pyrite oxidation in an unsaturated soil. The example shows that flow and transport may require completely different time steps for numerical reasons and illustrates well the utility of using different time steps.


Author(s):  
Kannan N. Premnath ◽  
D. V. Patil ◽  
Sanjoy Banerjee

Coupling of lattice Boltzmann (LB) and phase-field (PF) methods is discussed for simulation of a range of multiphase flow problems. The local relaxation and shifting operators make the LB method an attractive candidate for the simulation of the single-phase as well as multiphase flows. For simulating interface dynamics, LB methods require to be coupled with an appropriate scheme representing interfacial dynamics. To this end, we have used a model based on the order parameter, which could be either an index function or a phase-field variable, and coupled it with a LB solver for the simulation of various classes of complex multi-physics and multiphase flows. The LB method is used to compute the flow-field, and, in the case of electrodeposition process modeling, the electro-static potential-field. The application of such a coupled LB-PF is illustrated by the solution of a variety of examples. Finally, fast simulation of such a coupled algorithm is achieved using the state-of-art numerical solution acceleration techniques involving preconditioning and multigrid approaches.


2021 ◽  
Vol 347 ◽  
pp. 00025
Author(s):  
Quinn G. Reynolds ◽  
Oliver F. Oxtoby ◽  
Markus W. Erwee ◽  
Pieter J.A. Bezuidenhout

Multiphase fluid flow is an active field of research in numerous branches of science and technology. An interesting subset of multiphase flow problems involves the dispersion of one phase into another in the form of many small bubbles or droplets, and their subsequent separation back into bulk phases after this has occurred. Phase dispersion may be a desirable effect, for example in the production of emulsions of otherwise immiscible liquids or to increase interfacial surface area for chemical reactions, or an undesirable one, for example in the intermixing of waste and product phases during processing or the generation of foams preventing gas-liquid decoupling. The present paper describes a computational fluid dynamics method based on the multiple marker front-capturing algorithm – itself an extension of the volume-of-fluids method for multiphase flow – which is capable of scaling to mesoscale systems involving thousands of droplets or bubbles. The method includes sub-grid models for solution of the Reynolds equation to account for thin film dynamics and rupture. The method is demonstrated with an implementation in the OpenFOAM® computational mechanics framework. Comparisons against empirical data are presented, together with a performance benchmarking study and example applications.


2019 ◽  
Vol 76 ◽  
pp. 193-224
Author(s):  
S. Faraji Gargari ◽  
M. Kolahdoozan ◽  
M.H. Afshar ◽  
S. Dabiri

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