A multilevel preconditioner and its shared memory implementation for a new generation reservoir simulator

Shuhong Wu; Jinchao Xu; Chunsheng Feng; Chen Song Zhang; Qiaoyun Li; Shi Shu; Baohua Wang; Xiaobo Li; Hua Li

doi:10.1007/s12182-014-0370-1

A multilevel preconditioner and its shared memory implementation for a new generation reservoir simulator

Shuhong Wu, Jinchao Xu, Chunsheng Feng, Chen Song Zhang, Qiaoyun Li, Shi Shu, Baohua Wang, Xiaobo Li, Hua Li

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

As a result of the interplay between advances in computer hardware, software, and algorithm, we are now in a new era of large-scale reservoir simulation, which focuses on accurate flow description, fine reservoir characterization, efficient nonlinear/linear solvers, and parallel implementation. In this paper, we discuss a multilevel preconditioner in a new-generation simulator and its implementation on multicore computers. This preconditioner relies on the method of subspace corrections to solve large-scale linear systems arising from fully implicit methods in reservoir simulations. We investigate the parallel efficiency and robustness of the proposed method by applying it to million-cell benchmark problems.

Original language	English (US)
Pages (from-to)	540-549
Number of pages	10
Journal	Petroleum Science
Volume	11
Issue number	4
DOIs	https://doi.org/10.1007/s12182-014-0370-1
State	Published - Oct 31 2014
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-02-15

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Energy Engineering and Power Technology
Economic Geology
Geochemistry and Petrology
Geophysics
Geology
Fuel Technology

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abstract = "As a result of the interplay between advances in computer hardware, software, and algorithm, we are now in a new era of large-scale reservoir simulation, which focuses on accurate flow description, fine reservoir characterization, efficient nonlinear/linear solvers, and parallel implementation. In this paper, we discuss a multilevel preconditioner in a new-generation simulator and its implementation on multicore computers. This preconditioner relies on the method of subspace corrections to solve large-scale linear systems arising from fully implicit methods in reservoir simulations. We investigate the parallel efficiency and robustness of the proposed method by applying it to million-cell benchmark problems.",

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AU - Wu, Shuhong

AU - Xu, Jinchao

AU - Feng, Chunsheng

AU - Zhang, Chen Song

AU - Li, Qiaoyun

AU - Shu, Shi

AU - Wang, Baohua

AU - Li, Xiaobo

AU - Li, Hua

N1 - Generated from Scopus record by KAUST IRTS on 2023-02-15

PY - 2014/10/31

Y1 - 2014/10/31

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AB - As a result of the interplay between advances in computer hardware, software, and algorithm, we are now in a new era of large-scale reservoir simulation, which focuses on accurate flow description, fine reservoir characterization, efficient nonlinear/linear solvers, and parallel implementation. In this paper, we discuss a multilevel preconditioner in a new-generation simulator and its implementation on multicore computers. This preconditioner relies on the method of subspace corrections to solve large-scale linear systems arising from fully implicit methods in reservoir simulations. We investigate the parallel efficiency and robustness of the proposed method by applying it to million-cell benchmark problems.

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JO - Petroleum Science

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A multilevel preconditioner and its shared memory implementation for a new generation reservoir simulator

Abstract

Bibliographical note

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