Award Abstract # 9901498
U.S.- China Coperative Research: Numerical Methods and their Application to Computer Simulation of Flows in Underground Reservoirs

NSF Org: OISE
Office of International Science and Engineering
Recipient: SOUTHERN METHODIST UNIVERSITY
Initial Amendment Date: December 2, 1999
Latest Amendment Date: December 2, 1999
Award Number: 9901498
Award Instrument: Standard Grant
Program Manager: W. Y. B. Chang
OISE
 Office of International Science and Engineering
O/D
 Office Of The Director
Start Date: December 15, 1999
End Date: November 30, 2002 (Estimated)
Total Intended Award Amount: $44,530.00
Total Awarded Amount to Date: $44,530.00
Funds Obligated to Date: FY 2000 = $44,530.00
History of Investigator:
  • Zhangxin Chen (Principal Investigator)
    zchen@mail.smu.edu
  • Ian Gladwell (Co-Principal Investigator)
Recipient Sponsored Research Office: Southern Methodist University
6425 BOAZ ST RM 130
DALLAS
TX  US  75205-1902
(214)768-4708
Sponsor Congressional District: 24
Primary Place of Performance: Southern Methodist University
6425 BOAZ ST RM 130
DALLAS
TX  US  75205-1902
Primary Place of Performance
Congressional District:
24
Unique Entity Identifier (UEI): D33QGS3Q3DJ3
Parent UEI: S88YPE3BLV66
NSF Program(s): EAST ASIA AND PACIFIC PROGRAM
Primary Program Source: app-0100 
Program Reference Code(s): 0000, 9200, OTHR
Program Element Code(s): 597800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.079

ABSTRACT

9901498
Chen

This is a three year cooperative research project proposed by Dr. Zhangxin Chen, Southern Methodist University, Dr. Richard Ewing, Texas A and M University and Professor Zhong-Ci Shi of the Chinese Academy of Sciences. The goal of this project is to develop numerical methods for differential equations and their application to modeling and computer simulation of multiphase fluid flows in groundwater and petroleum reservoirs. The efficient solution of nonlinear coupled systems of partial differential equations is important to many fields of science and engineering. This project may provide efficient ways to obtain solutions to these nonlinear systems. This project is jointly supported by the Chinese Academy of Science and the National Science Foundation

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