Architecture of a multipurpose simulator

Abou‐Kassem, Jamal H.; Zaid, Alforgi M.

doi:10.1016/s0920-4105(96)00027-7

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…Lutchmansingh [16] extended this simulator by solving pressure and saturation distributions simultaneously and polymer concentration explicitly. Based on Lutchmansingh's work, Abou-Kassem [17] eliminated non-relevant equations and unknowns by properly ordering the set of all equations and unknowns, thus providing significant savings in CPU time. Chang [18] implemented a third-order finite difference method to capture a physical dispersion effect which is normally smeared by artificial numerical dispersion.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulations of polymer flooding process in porous media on distributed-memory parallel computers

Zhong

Liu

Cui

et al. 2020

Journal of Computational Physics

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Polymer flooding is a mature enhanced oil recovery technique that has been successfully applied in many field projects. By injecting polymer into a reservoir, the viscosity of water is increased, and the efficiency of water flooding is improved. As a result, more oil can be recovered. This paper presents numerical simulations of a polymer flooding process using parallel computers, where the numerical modeling of polymer retention, inaccessible pore volumes, a permeability reduction and polymer absorption are considered. Darcy's law is employed to model the behavoir of a fluid in porous media, and the upstream finite difference (volume) method is applied to discretize the mass conservation equations. Numerical methods, including discretization schemes, linear solver methods, nonlinearization methods and parallel techniques are introduced. Numerical experiments show that, on one hand, computed results match those from the commercial simulator, Schlumberger-Eclipse, which is widely applied by the petroleum industry, and, on the other hand, our simulator has excellent scalability, which is demonstrated by field applications with up to 27 million grid blocks using up to 2048 CPU cores.

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Section: Introductionmentioning

confidence: 99%

Numerical simulations of polymer flooding process in porous media on distributed-memory parallel computers

Zhong

Liu

Cui

et al. 2020

Journal of Computational Physics

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“…Since each reservoir requires a different approach, oil companies developed general-purpose simulators instead of developing one for each recovery process. In this class of simulators, the solution for any recovery process comes from a generic model, where only the necessary equations to obtain the results are used [84]. For instance, this type of simulator must be able to dynamically change the number of FIM and IMPES equations for AIM formulation, keeping track of the number of phases, components, and well equations, while assembling the Jacobian accordingly.…”

Section: Adaptive Timestep Controlmentioning

confidence: 99%

Development of a Multipurpose Reservoir Simulator Based on a Plugin Architecture

BASTOS¹

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I would like to express my sincere gratitude to my advisors Ivan Menezes and Leonardo Duarte, for their guidance and assistance during this research. Exploring the challenging aspects of programming a reservoir simulator was a very inspiring experience.Special thanks to Waldemar Celes Filho for giving me the opportunity to work in the project that originated this research.Thanks to all my colleagues at PUC-Rio. I would like to express my special appreciation to Henrique Santiago, Matheus Hoffmann, and Lucas Vivian for their friendship and company. Having close friends has been a gift through these years.Thanks to my parents, Horácio and Valléria, for their endless love, support, and unwavering belief in me. Thank you also to my brother Rafael for the constant support and for being an inspiration as a researcher.Thanks to Ivonett and Elio Accardo for their support and advice during difficult times. Being part of your family is one of the greatest things that happened to me.Above all, I would like to thank my fiancée, Brunna Accardo, for her unconditional love and constant support throughout this journey. Thank you for being my best friend.This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001.

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2010

Advanced Petroleum Reservoir Simulations

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Architecture of a multipurpose simulator

Cited by 7 publications

References 13 publications

Numerical simulations of polymer flooding process in porous media on distributed-memory parallel computers

Numerical simulations of polymer flooding process in porous media on distributed-memory parallel computers

Development of a Multipurpose Reservoir Simulator Based on a Plugin Architecture

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