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Preconditioned Iterative Solvers on ...

Yang, Bo .

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Preconditioned Iterative Solvers on GPU and an in-situ Combustion Simulator.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Preconditioned Iterative Solvers on GPU and an in-situ Combustion Simulator./
Author:	Yang, Bo .
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	255 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-10, Section: B.
Contained By:	Dissertations Abstracts International81-10B.
Subject:	Petroleum engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27736841
ISBN:	9781658490665

Preconditioned Iterative Solvers on GPU and an in-situ Combustion Simulator.
Yang, Bo .

Preconditioned Iterative Solvers on GPU and an in-situ Combustion Simulator. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 255 p.

Source: Dissertations Abstracts International, Volume: 81-10, Section: B.

Thesis (Ph.D.)--University of Calgary (Canada), 2020.

This item must not be sold to any third party vendors.

This thesis consists of two parts. The first part is the development of a new parallel solutionplatform for large-scale heterogeneous black oil simulation on GPU (graphics processing unit).The second part is the development of a new ISC (in-situ combustion) simulator with integratedfunctions based on the PER (pseudo equilibrium ratio) method.An application of HPC (high-performance computing) technology to reservoir simulation hasbecome an inevitable trend. As a platform for HPC, GPU can provide an effective solution fora single-node workstation. The purpose of the first research is to develop a new parallel solutionplatform based on GPU features.Not only a series of special CPR (constrained pressure residual) preconditioned solvers aredeveloped for black oil models, but also a variety of other preconditioned solvers are completedas contrast solvers. The parallel linear solvers include GMRES (generalized minimal residual),BiCGSTAB (biconjugate gradient stabilized), and AMG (algebraic multigrid); The ILU (incompleteLU factorization) parallel preconditioners contains ILU(k), ILUT, and BILU; The domaindecomposition function involves RAS (restricted additive Schwarz). Because the pressure part ofa black oil system shows a Poisson-like characteristic, CPR is an appropriate choice for acceleratingthe solution. Both CPR ILU(k) and CPR ILUT, are developed.The numerical experiments verify a significant improvement in the parallel performance of thesolvers on GPU. They also provide an overall comparison among the combinations of differentGPUs, solvers, and preconditioners. The results demonstrate that the CPR developed has excellentadvantages in both parallelism and convergence for the solution of a benchmark reservoir model.The purpose of the second research is to develop a new comprehensive ISC simulator with thePER method and to compare functions with those of a benchmark simulator with the VS method.ISC is considered a promising recovery method because of its low cost and less environmentalimpact. However, an ISC simulator is regarded as one of the most complex simulators to develop,as it combines a compositional model, a thermal conservation equation, and a set of chemicalreactions. The PER method can reduce the complexity of simulator development because it lowersthe influence of the phase disappearance and appearance on the mathematical system of reservoirsimulation.The research simulator implements a complete set of functions, including dry combustion,wet combustion, heat loss, multi-perf wells, well schedule, simulation of a tube-size model, andsimulation of a 3-D full-scale model. For the verification of the equivalence in numerical resultsbetween the PER method and the VS method, the numerical experiments are carried out in anomnidirectional range. Because the results show a very close match, the research provides reliableexperimental support for popularizing the use of the PER method to develop an in-situ combustionsimulator.

ISBN: 9781658490665Subjects--Topical Terms:

566616
Petroleum engineering.
Subjects--Index Terms:

GPU

Preconditioned Iterative Solvers on GPU and an in-situ Combustion Simulator.
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100 1 $a Yang, Bo . $3 3550299
245 1 0 $a Preconditioned Iterative Solvers on GPU and an in-situ Combustion Simulator.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 255 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-10, Section: B.
500 $a Advisor: Chen, Zhangxing;Liao, Wenyuan.
502 $a Thesis (Ph.D.)--University of Calgary (Canada), 2020.
506 $a This item must not be sold to any third party vendors.
520 $a This thesis consists of two parts. The first part is the development of a new parallel solutionplatform for large-scale heterogeneous black oil simulation on GPU (graphics processing unit).The second part is the development of a new ISC (in-situ combustion) simulator with integratedfunctions based on the PER (pseudo equilibrium ratio) method.An application of HPC (high-performance computing) technology to reservoir simulation hasbecome an inevitable trend. As a platform for HPC, GPU can provide an effective solution fora single-node workstation. The purpose of the first research is to develop a new parallel solutionplatform based on GPU features.Not only a series of special CPR (constrained pressure residual) preconditioned solvers aredeveloped for black oil models, but also a variety of other preconditioned solvers are completedas contrast solvers. The parallel linear solvers include GMRES (generalized minimal residual),BiCGSTAB (biconjugate gradient stabilized), and AMG (algebraic multigrid); The ILU (incompleteLU factorization) parallel preconditioners contains ILU(k), ILUT, and BILU; The domaindecomposition function involves RAS (restricted additive Schwarz). Because the pressure part ofa black oil system shows a Poisson-like characteristic, CPR is an appropriate choice for acceleratingthe solution. Both CPR ILU(k) and CPR ILUT, are developed.The numerical experiments verify a significant improvement in the parallel performance of thesolvers on GPU. They also provide an overall comparison among the combinations of differentGPUs, solvers, and preconditioners. The results demonstrate that the CPR developed has excellentadvantages in both parallelism and convergence for the solution of a benchmark reservoir model.The purpose of the second research is to develop a new comprehensive ISC simulator with thePER method and to compare functions with those of a benchmark simulator with the VS method.ISC is considered a promising recovery method because of its low cost and less environmentalimpact. However, an ISC simulator is regarded as one of the most complex simulators to develop,as it combines a compositional model, a thermal conservation equation, and a set of chemicalreactions. The PER method can reduce the complexity of simulator development because it lowersthe influence of the phase disappearance and appearance on the mathematical system of reservoirsimulation.The research simulator implements a complete set of functions, including dry combustion,wet combustion, heat loss, multi-perf wells, well schedule, simulation of a tube-size model, andsimulation of a 3-D full-scale model. For the verification of the equivalence in numerical resultsbetween the PER method and the VS method, the numerical experiments are carried out in anomnidirectional range. Because the results show a very close match, the research provides reliableexperimental support for popularizing the use of the PER method to develop an in-situ combustionsimulator.
590 $a School code: 0026.
650 4 $a Petroleum engineering. $3 566616
650 4 $a Applied mathematics. $3 2122814
650 4 $a Computer engineering. $3 621879
653 $a GPU
653 $a In-situ combustion
653 $a Linear solver
653 $a Petroleum
653 $a Preconditioner
653 $a Reservoir simulator
690 $a 0765
690 $a 0364
690 $a 0464
710 2 $a University of Calgary (Canada). $b Chemical and Petroleum Engineering. $3 3553400
773 0 $t Dissertations Abstracts International $g 81-10B.
790 $a 0026
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27736841