NDLI: Mixed precision parallel preconditioner and linear solver for compositional reservoir simulation

Content Provider	Springer Nature Link
Author	Khaz’ali, Ali Reza Rasaei, Mohammad Reza Moghadasi, Jamshid
Copyright Year	2014
Abstract	Reservoir simulation role in value creation and strategic management decisions cannot be over emphasized. Simulation of complex challenging reservoirs with millions of grid blocks especially in compositional mode is very time-consuming even with fast modern computers. On the other hand, high price of cluster supercomputers prevents them for being commonly used for fast simulation of such reservoirs. In recent years, the development of many-core processors like cell processors, DSPs, and graphical processing units (GPUs) has provided a very cost-effective hardware platform for fast computational operations. However, programming for such processors is much more difficult than conventional CPUs, and new parallel algorithm design and special parallel implementation methods are needed. Using the computational power of CPUs, GPUs, and/or any other processing unit, Open Computing Language (OpenCL) provides a framework for programming for heterogeneous platforms. In this paper, OpenCL is used to employ the computational power of a GPU to build a preconditioner and solve the linear system arising from compositional formulation of multiphase flow in porous media. The proposed parallel preconditioner is proved to be quite effective, even in heterogeneous porous media. Using data-parallel modules on GPU, the preconditioner/solver runtime reduced at least 1 order of magnitude compared to their serial implementation on CPU.
Starting Page	729
Ending Page	746
Page Count	18
File Format	PDF
ISSN	14200597
Journal	Computational Geosciences
Volume Number	18
Issue Number	5
e-ISSN	15731499
Language	English
Publisher	Springer International Publishing
Publisher Date	2014-05-15
Publisher Place	Cham
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Compositional modeling GPGPU Iterative linear solver Many-core processor Minimal residual method Partial sorting Simultaneous solution Earth Sciences Geotechnical Engineering & Applied Earth Sciences Hydrogeology Mathematical Modeling and Industrial Mathematics Soil Science & Conservation
Content Type	Text
Resource Type	Article
Subject	Computers in Earth Sciences Computational Theory and Mathematics Computer Science Applications Computational Mathematics

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