CFD simulation of sand particle erosion under multiphase flow conditions

Wear ◽  
2017 ◽  
Vol 376-377 ◽  
pp. 1176-1184 ◽  
Author(s):  
Mazdak Parsi ◽  
Mustafa Kara ◽  
Madhusuden Agrawal ◽  
Netaji Kesana ◽  
Anchal Jatale ◽  
...  
2015 ◽  
Vol 27 ◽  
pp. 706-718 ◽  
Author(s):  
Mazdak Parsi ◽  
Madhusuden Agrawal ◽  
Vedanth Srinivasan ◽  
Ronald E. Vieira ◽  
Carlos F. Torres ◽  
...  

2018 ◽  
Vol 350 ◽  
pp. 507-522 ◽  
Author(s):  
Mutharasu L.C. ◽  
Dinesh V. Kalaga ◽  
Mayur Sathe ◽  
Damon E. Turney ◽  
Derek Griffin ◽  
...  

Author(s):  
Farzin Darihaki ◽  
Elham Fallah Shojaie ◽  
Jun Zhang ◽  
Siamack A. Shirazi

Abstract In internal flows, solid particles carried by the fluid could damage pipelines and fittings. Particles that are entrained in the fluid can cross streamlines and transfer a part of their momentum to the internal surface by impacts and cause local wall material degradation. Over the past decades, a wide range of models is introduced to predict particle erosion which includes empirical models, mechanistic models, and CFD which is currently the state-of-art numerical approach to simulate the erosion process. Multiphase flow under annular flow conditions adds to the complexity of the model. Although with the current computational capabilities transient CFD models are effectively applicable, this type of transient multiphase approach is not practical yet for engineering prediction of erosion especially for the large diameter applications with huge computational domains. Therefore, the presented combined approach could be utilized to obtain erosion rates for large diameter cases. Thus, an approach combining CFD and mechanistic multiphase models characterizing annular flow is developed to predict solid particle erosion. Different factors including film thickness in pipes and fittings which are affecting erosion under gas-dominated multiphase flow conditions are investigated. The results from the current approach are compared to experimental data and transient CFD simulations for annular flow in elbows showing a very good agreement with both.


2021 ◽  
Author(s):  
Rafael M. D. Rosa ◽  
Arthur B. Soprana ◽  
Vinicius Girardi ◽  
Fernando M. Villagra

Abstract This work presents a numerical assessment of chemical inhibitor injection to mitigate wax deposition in unconventional wells. The goal of this study is to simulate the deposition of wax under several operational conditions and later optimize the chemical inhibitor injection position, using two different types of numerical simulations. A transient one-dimensional multiphase flow simulator - ALFAsim, with a dedicated wax model, was used to predict flow conditions such pressure, temperature, holdup and flow pattern profiles, as well the position and rates that wax accumulates. The results from the 1D simulation were then used as boundary conditions in a 3D CFD simulator, which aimed to assess how long it would take to a satisfactory homogenization of the inhibitor with the flow and what would be the minimum depth for the injector should be installed. In this work, a 1D multiphase flow simulator with wax deposition model was used to identify on which operational conditions (flow rates and environmental temperatures) an unconventional well would start to present wax deposition on its tubing walls. After defining the susceptible region where the paraffin could deposit, it was important to verify if the inhibitor would be well homogenized with the stream when reaching this region. For that, a 3D CFD simulation was performed, using information obtained directly from the 1D simulator as boundary conditions. The CFD model was capable to show the mixing evolution of the inhibitor with the stream and it was possible to determine the minimum distance where the injector should be placed to guarantee such homogeneity. A real well was selected to provide comparisons between field observations and simulated data, in order to validate the model assumptions and accuracy.


2018 ◽  
Vol 32 (3) ◽  
pp. 3399-3405 ◽  
Author(s):  
Erlend O. Straume ◽  
Celina Kakitani ◽  
Luis A. Simões Salomão ◽  
Rigoberto E. M. Morales ◽  
Amadeu K. Sum

2021 ◽  
Author(s):  
Ali Farokhipour ◽  
Zohreh Mansoori ◽  
Majid Saffar-Avval ◽  
Goodarz Ahmadi ◽  
Siamack Shirazi

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