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PACKAGE ID:000219MLTPL13 TOUGH-MP V2.0
KWIC TITLE:Unsaturated Groundwater and Heat Transport Model 
AUTHORS:Keni Zhang; Yushu Wu
LIMITATION/AUDIENCE CODE:COPY/LIM
COMPLETION DATE:05/15/2008 
PUBLICATION DATE:05/15/2008 
DESCRIPTION:TOUGH2-MP is a massive parallel version of the TOUGH2 Code, designed for computationally efficient parallel simulation of isothermal and nonisothermal flows of multicomponent, multiphase fluids in one, two, and three-dimensional porous and fractured media. The code runs on computers with parallel architecture or clusters and can be used for applications, such as radioactive waste disposal, CO2 geological sequestration, environmental assessment and remediation, reservoir engineering, and groundwater hydrology. The parallel simulator has achieved orders-of-the-magnitude improvement in computational time and/or modeling problem size. The parallel simulator uses fully implicit time differencing and solves large, sparse linear systems arising from discretization of the partial differential equations for mass and energy balance. A domain decomposition approach is adopted for multiphase flow simulations with coarse- granularity parallel computation. Current version of TOUGH2-MP includes following modules: EOS1, EOS2, EOS3, EOS4, EOS5, EOS7, EOS7R, E0S8, EOS9, ECO2N, EWASG, and T2R3D. 
PACKAGE CONTENTS:Media Directory; Software Abstract; Media Includes Source Code, Executable Module(s), Sample Problem Input Data, and User Guide;\1 CD ROM 
SOURCE CODE INCLUDED?
MEDIA URL: 
MEDIA QUANTITY:
COMPUTER:MLT-PLTFM 
OPERATING SYSTEMS:Linux, Window XP, MAC OS X, Unix 
SOFTWARE LIMITATIONS:Require MPI for running the Code 
REFERENCES:Karypsis C and Ku mar V. METIS. A Software Package for Partitioning Unstructured Graphs, Partitioning Meshes, and Computing Fill-Reducing Orderings of Sparse Matrices, V4.0. Technical Report, Department of Computer Science, University of Minnesota, 1998. Message Passing Interface Forum. MPI: A Message-Passing Interface Standard, International Journal of Supercomputing Applications and High Performance Computing, 8(3-4), 1994. Tuminaro RS, Heroux M., Hutchinson SA, and Shadid JN. Official Aztec User’s Guide, Ver 2.1, Massively Parallel Computing Research Laboratory, Sandia National Laboratories, Albuquerque, NM, 1999. Zhang K, Wu YS, Ding C, Pruess K, and Elmroth E. Parallel Computing Techniques for Large-Scale Reservoir Simulation of Multi-Component and Multiphase Fluid Flow, Paper SPE 66343, Proceedings of the 2001 SPE Reservoir Simulation Symposium, Houston, Texas, 2001 Zhang, K. and Y.S Wu, Enhancing Scalability and Efficiency of the TOUGH_MP for Linux Clusters, proceedings of TOUGH Symposium 2006, Berkeley, CA 2006 Wu, Y. S., K. Zhang, C. Ding, K. Pruess, E. Elmroth, and G. S. Bodvarsson, 2002, An efficient parallel-computing scheme for modeling nonisothermal multiphase flow and multicomponent transport in porous and fractured media, Advances In Water Resources, 25, 243-261. 
ABSTRACT STATUS:Released AS-IS 12/02/2008. 
SPONSOR:DOE 
RESEARCH ORG:Lawrence Berkeley National Laboratory 
PACKAGE TYPE:AS-IS 
PACKAGE STATUS:RDY