Development of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers

Reservoir simulation is to solve a set of fluid flow equations through porous media, which are partial differential equations from the petroleum engineering industry and described by Darcy’s law. This paper introduces the model, numerical methods, algorithms and parallel implementation of a thermal...

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Autores principales:	Hui Liu, Zhangxin Chen, Xiaohu Guo, Lihua Shen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	thermal model reservoir simulation parallel computing preconditioner Thermodynamics QC310.15-319 Descriptive and experimental mechanics QC120-168.85
Acceso en línea:	https://doaj.org/article/ddecd331489446afb4fcf2e6e685d70e
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id	oai:doaj.org-article:ddecd331489446afb4fcf2e6e685d70e
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spelling	oai:doaj.org-article:ddecd331489446afb4fcf2e6e685d70e2021-11-25T17:31:37ZDevelopment of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers10.3390/fluids61103952311-5521https://doaj.org/article/ddecd331489446afb4fcf2e6e685d70e2021-11-01T00:00:00Zhttps://www.mdpi.com/2311-5521/6/11/395https://doaj.org/toc/2311-5521Reservoir simulation is to solve a set of fluid flow equations through porous media, which are partial differential equations from the petroleum engineering industry and described by Darcy’s law. This paper introduces the model, numerical methods, algorithms and parallel implementation of a thermal reservoir simulator that is designed for numerical simulations of a thermal reservoir with multiple components in three-dimensional domain using distributed-memory parallel computers. Its full mathematical model is introduced with correlations for important properties and well modeling. Efficient numerical methods (discretization scheme, matrix decoupling methods, and preconditioners), parallel computing technologies, and implementation details are presented. The numerical methods applied in this paper are suitable for large-scale thermal reservoir simulations with dozens of thousands of CPU cores (MPI processes), which are efficient and scalable. The simulator is designed for giant models with billions or even trillions of grid blocks using hundreds of thousands of CPUs, which is our main focus. The validation part is compared with CMG STARS, which is one of the most popular and mature commercial thermal simulators. Numerical experiments show that our results match commercial simulators, which confirms the correctness of our methods and implementations. SAGD simulation with 7406 well pairs is also presented to study the effectiveness of our numerical methods. Scalability testings demonstrate that our simulator can handle giant models with billions of grid blocks using 100,800 CPU cores and the simulator has good scalability.Hui LiuZhangxin ChenXiaohu GuoLihua ShenMDPI AGarticlethermal modelreservoir simulationparallel computingpreconditionerThermodynamicsQC310.15-319Descriptive and experimental mechanicsQC120-168.85ENFluids, Vol 6, Iss 395, p 395 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	thermal model reservoir simulation parallel computing preconditioner Thermodynamics QC310.15-319 Descriptive and experimental mechanics QC120-168.85
spellingShingle	thermal model reservoir simulation parallel computing preconditioner Thermodynamics QC310.15-319 Descriptive and experimental mechanics QC120-168.85 Hui Liu Zhangxin Chen Xiaohu Guo Lihua Shen Development of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers
description	Reservoir simulation is to solve a set of fluid flow equations through porous media, which are partial differential equations from the petroleum engineering industry and described by Darcy’s law. This paper introduces the model, numerical methods, algorithms and parallel implementation of a thermal reservoir simulator that is designed for numerical simulations of a thermal reservoir with multiple components in three-dimensional domain using distributed-memory parallel computers. Its full mathematical model is introduced with correlations for important properties and well modeling. Efficient numerical methods (discretization scheme, matrix decoupling methods, and preconditioners), parallel computing technologies, and implementation details are presented. The numerical methods applied in this paper are suitable for large-scale thermal reservoir simulations with dozens of thousands of CPU cores (MPI processes), which are efficient and scalable. The simulator is designed for giant models with billions or even trillions of grid blocks using hundreds of thousands of CPUs, which is our main focus. The validation part is compared with CMG STARS, which is one of the most popular and mature commercial thermal simulators. Numerical experiments show that our results match commercial simulators, which confirms the correctness of our methods and implementations. SAGD simulation with 7406 well pairs is also presented to study the effectiveness of our numerical methods. Scalability testings demonstrate that our simulator can handle giant models with billions of grid blocks using 100,800 CPU cores and the simulator has good scalability.
format	article
author	Hui Liu Zhangxin Chen Xiaohu Guo Lihua Shen
author_facet	Hui Liu Zhangxin Chen Xiaohu Guo Lihua Shen
author_sort	Hui Liu
title	Development of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers
title_short	Development of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers
title_full	Development of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers
title_fullStr	Development of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers
title_full_unstemmed	Development of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers
title_sort	development of a scalable thermal reservoir simulator on distributed-memory parallel computers
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ddecd331489446afb4fcf2e6e685d70e
work_keys_str_mv	AT huiliu developmentofascalablethermalreservoirsimulatorondistributedmemoryparallelcomputers AT zhangxinchen developmentofascalablethermalreservoirsimulatorondistributedmemoryparallelcomputers AT xiaohuguo developmentofascalablethermalreservoirsimulatorondistributedmemoryparallelcomputers AT lihuashen developmentofascalablethermalreservoirsimulatorondistributedmemoryparallelcomputers
_version_	1718412257714503680

Development of a Scalable Thermal Reservoir Simulator on Distributed-Memory Parallel Computers

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