CTPL Lab is Organinzing an International Workshop in conjunction with the International Conference on Computational Science for Flow and Transport: Modeling, Simulations and Algorithms

06 June, 2016

Modeling of flow and transport is an essential component of many scientific and engineering applications, with increased interests in recent years. Application areas vary widely, and include groundwater contamination, carbon sequestration, air pollution, petroleum exploration and recovery, weather prediction, drug delivery, material design, chemical separation processes, biological processes, and many others. However, accurate mathematical and numerical simulation of flow and transport remains a challenging topic from many aspects of physical modeling, numerical analysis and scientific computation. Mathematical models are usually expressed via nonlinear systems of partial differential equations, with possibly rough and discontinuous coefficients, whose solutions are often singular and discontinuous. An important step of a numerical solution procedure is to apply advanced discretization methods (e.g. finite elements, finite volumes, and finite differences) to the governing equations. Local mass conservation and compatibility of numerical schemes are often necessary to obtain physical meaningful solutions. Another important solution step is the design of fast and accurate solvers for the large-scale linear and nonlinear algebraic equation systems that result from discretization. Solution techniques of interest include multiscale algorithms, mesh adaptation, parallel algorithms and implementation, efficient splitting or decomposition schemes, and others.
The aim of this special issue is to bring together researchers in the aforementioned field to highlight the current developments both in theory and methods, to exchange the latest research ideas, and to promote further collaborations in the community.
Potential topics include, but are not limited to:
  • advanced numerical methods for the simulation of subsurface and surface flow and transport, and associated aspects such as discretization, gridding, upscaling, multiscale algorithms, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing;
  • spatial discretization schemes based on advanced finite element, finite volume, and finite different methods; schemes that preserve local mass conservation (such as mixed finite element methods and discontinuous Galerkin methods) are of particular interest;decomposition methods for improved efficiency and accuracy in treating flow and transport problems; 
  • decomposition methods for nonlinear differential equations and dynamical systems arising in flow and transport; temporal discretization schemes for flow and transport;
  • a-priori and a-posteriori error estimates in discretizations and decompositions; numerical convergence study; adaptive algorithms and implementation;
  • modeling and simulation of single-phase and multi-phase flow in porous media or in free space, and its applications to earth sciences and engineering; 
  • modeling and simulation of subsurface and surface transport and geochemistry, and its application to environmental sciences and engineering;
  • computational thermodynamics of fluids, especially hydrocarbon and other oil reservoir fluids, and its interaction with flow and transport;
  • computational modeling of flow and transport in other fields, such as geological flow/transport in crust and mantle, material flow in supply chain networks, separation processes in chemical engineering, information flow, biotransport, and intracellular protein trafficking, will also be considered.



We cordially invite original research articles as well as review articles describing the recent advances in mathematical modeling, computer simulation, numerical analysis, and other computational aspects of flow and transport phenomena of flow and transport.


Papers of up to 10 pages, written in English and formatted according to the EasyChair templates, should be submitted electronically. While submitting please don't forget to select the workshop: International Workshop on Computational Flow and Transport: Modeling, Simulations and Algorithms.
All papers will be peer reviewed. Accepted papers will be published by Elsevier in the open-access Procedia Computer Science series. The proceedings will be available at the conference.


At least one author of an accepted paper must register at the conference site and present the paper at the workshop.
After the conference, selected papers will be invited for a special issue of the Journal of Computational Science (Impact Factor 1.567). 


Important dates

Full paper submission                                  January 31, 2016
Notification of acceptance of papers                   February 15, 2016
Camera-ready papers                                    March 4, 2016
Author registration                                    January 27 – March 4, 2016
Participant (non-author) early registration           January 27 – April 22, 2016
Participant (non-author) late registration            From April 23, 2016
Conference sessions            June 6 – 8, 2016


Other information

For information on conference venue, accommodation, registration, etc. please refer to the conference site

Program Committee 
Todd Arbogast, The University of Texas at Austin

Yekaterina Epshteyn, The University of Utah
Victor Ginting, University of Wyoming
Jason Huang, National Sun Yat-sen University (Taiwan)
Jiangguo (James) Liu, Colorado State University
Jean Roberts, INRIA-Rocquencourt, France
Shuyu Sun, King Abdullah University of Science and Technology (KAUST)
Sunil Thomas, Reservoir Simulation Development, Chevron ETC, San Ramon, CA, USA
Hong Wang, University of South Carolina
Mary F. Wheeler, The University of Texas at Austin
Ivan Yotov, University of Pittsburgh



Workshop Organizers
Chair: Shuyu Sun
King Abdullah University of Science and Technology (KAUST)
E-mail: shuyu.sun@kaust.edu.sa  
Web: http://web.kaust.edu.sa/faculty/shuyusun/ 

Co-Chair: Jiangguo (James) Liu 
Colorado State University
Email: liu@math.colostate.edu  
Web: http://www.math.colostate.edu/~liu/   

Co-Chair: Meng-Huo Chen
King Abdullah University of Science and Technology (KAUST) 
E-mail: menghuo.chen@kaust.edu.sa