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Автор Jianping Zhu
Автор Yung Ming Chen
Дата выпуска 1992
dc.description A parallel algorithm using the generalized pulse spec trum technique and multilevel grid method for solving reservoir structural parameter identification problems is discussed here. The algorithm can be used to iden tify the reservoir's absolute permeability distributions by matching the computed pressure values with mea sured historical pressure values obtained at observa tion wells (history matching). Use of a multilevel grid improves the quality of the identified permeability dis tributions significantly. The whole parameter identifica tion process is very computationally intensive since a group of coupled nonlinear partial differential equa tions (PDEs) and a regularized least square problem must be solved repeatedly with different parameter values. Several hundred megabyte memory is required for reservoir models involving thousands of grid points. The block SOR scheme with red and black or dering and a parallel Householder transformation scheme were used to solve the algebraic equations resulting from the discretization of the PDEs. High speedup has been achieved by exploring parallefisnl, refining the whole program, rather than just the hot- spots, and utilizing the high-speed cache memory effi ciently.
Издатель Sage Publications
Название History Matching for Multiphase Reservoir Models On Shared Memory Supercomputers
Тип Journal Article
DOI 10.1177/109434209200600206
Print ISSN 1094-3420
Журнал International Journal of High Performance Computing Applications
Том 6
Первая страница 193
Последняя страница 206
Аффилиация Jianping Zhu, NSF ENGINEERING RESEARCH CENTER FOR COMPUTATIONAL FIELD SIMULATIONS MISSISSIPPI STATE UNIVERSITY
Аффилиация Yung Ming Chen, DEPARTMENT OF APPLIED MATHEMATICS AND STATISTICS STATE UNIVERSITY OF NEW YORK AT STONY BROOK
Выпуск 2
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