Studies of Robust Two Stage Preconditioners for the Solution of Fully Implicit Multiphase Flow Problems

Author(s):  
Tareq Mutlaq Al-Shaalan ◽  
Hector Manuel Klie ◽  
Ali H. Dogru ◽  
Mary Fanett Wheeler
2020 ◽  
Vol 143 ◽  
pp. 103674 ◽  
Author(s):  
Hadi Hajibeygi ◽  
Manuela Bastidas Olivares ◽  
Mousa HosseiniMehr ◽  
Sorin Pop ◽  
Mary Wheeler

2014 ◽  
Author(s):  
Benjamin Ganis ◽  
Kundan Kumar ◽  
Gergina Pencheva ◽  
Mary F. Wheeler ◽  
Ivan Yotov

2015 ◽  
Vol 299 ◽  
pp. 472-486 ◽  
Author(s):  
Matteo Cusini ◽  
Alexander A. Lukyanov ◽  
Jostein Natvig ◽  
Hadi Hajibeygi

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.


2021 ◽  
Author(s):  
E. Ahmed ◽  
Ø. Klemetsdal ◽  
X. Raynaud ◽  
O. Møyner ◽  
H. M. Nilsen

Abstract We present in this paper a-posteriori error estimators for multiphase flow with singular well sources. The estimators are fully and locally computable, distinguish the various error components, and target the singular effects of wells. On the basis of these estimators we design an adaptive fully-implicit solver that yields optimal nonlinear iterations and efficient time-stepping, while maintaining the accuracy of the solution. A key point is that the singular nature of the solution in the near-well region is explicitly captured and efficiently estimated using the adequate norms. Numerical experiments illustrate the efficiency of our estimates and the performance of the adaptive algorithm.


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