Modified sequential fully implicit scheme for compositional flow simulation

2017 ◽  
Vol 337 ◽  
pp. 98-115 ◽  
Author(s):  
A. Moncorgé ◽  
H.A. Tchelepi ◽  
P. Jenny
2021 ◽  
Vol 11 (12) ◽  
pp. 5509
Author(s):  
Hongjin Choi ◽  
Seonghwan Choi ◽  
Soo-Chang Kang ◽  
Myoung-Gyu Lee

A fully implicit stress integration algorithm is developed for the distortional hardening model, namely the e−HAH model, capable of simulating cross−hardening/softening under orthogonal loading path changes. The implicit algorithm solves a complete set of residuals as nonlinear functions of stress, a microstructure deviator, and plastic state variables of the constitutive model, and provides a consistent tangent modulus. The number of residuals is set to be 20 or 14 for the continuum or shell elements, respectively. Comprehensive comparison programs are presented regarding the predictive accuracy and stability with different numerical algorithms, strain increments, material properties, and loading conditions. The flow stress and r−value evolutions under reverse/cross−loading conditions prove that the algorithm is robust and accurate, even with large strain increments. By contrast, the cutting−plane method and partially implicit Euler backward method, which are characterized by a reduced number of residuals, result in unstable responses under abrupt loading path changes. Finally, the algorithm is implemented into the finite element modeling of large−size, S−rail forming and the springback for two automotive steel sheets, which is often solved by a hybrid dynamic explicit–implicit scheme. The fully implicit algorithm performs well for the whole simulation with the solely static implicit scheme.


2009 ◽  
Author(s):  
Hector Manuel Klie ◽  
Jorge Monteagudo ◽  
Hussein Hoteit ◽  
Adolfo Antonio Rodriguez

2017 ◽  
Vol 53 (4) ◽  
pp. 2917-2939 ◽  
Author(s):  
Kenneth M. Walton ◽  
Andre J. A. Unger ◽  
Marios A. Ioannidis ◽  
Beth L. Parker

Author(s):  
Denis Voskov ◽  
Hamdi A. Tchelepi

In this work, we generalize the Compositional Space Parameterization (CSP) approach, which was originally developed for compositional two-phase reservoir flow simulation. Tie-line based parameterization methods [1]–[3] were motivated by insights obtained from MOC (Method of Characteristics) theory. The MOC based analytical theory [4] has provided deep understanding of the interactions between thermodynamics and flow. In our adaptive framework, tie-lines are used to represent the solution route of multi-component multiphase displacements. The tie-line information is used as a preconditioner for EOS computations in general-purpose compositional flow simulation.


2020 ◽  
Vol 24 (4) ◽  
pp. 1557-1587
Author(s):  
Omar Duran ◽  
Manouchehr Sanei ◽  
Philippe R. B. Devloo ◽  
Erick S. R. Santos

Sign in / Sign up

Export Citation Format

Share Document