4.7 Article

Fast computation of multiphase flow in porous media by implicit discontinuous Galerkin schemes with optimal ordering of elements

期刊

JOURNAL OF COMPUTATIONAL PHYSICS
卷 227, 期 24, 页码 10108-10124

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2008.08.024

关键词

Porous media flow; Implicit upwind scheme; Topological sorting

资金

  1. Research Council of Norway [1391441431, 158908/130]

向作者/读者索取更多资源

We present a family of implicit discontinuous Galerkin schemes for purely advective multiphase flow in porous media in the absence of gravity and capillary forces. To advance the solution one time step, one must solve a discrete system of nonlinear equations. By reordering the grid cells, the nonlinear system can be shown to have a lower triangular block structure, where each block corresponds to the degrees-of-freedom in a single or a small number of cells. To reorder the system, we view the grid cells and the fluxes over cell interfaces as vertices and edges in a directed graph and use a standard topological sorting algorithm. Then the global system can be computed by processing the blocks sequentially using a standard Newton-Raphson algorithm for the degrees-of-freedom in each block. Decoupling the system offers greater control over the nonlinear solution procedure and reduces the computational costs, memory requirements, and complexity of the scheme significantly. In particular, the first-order version of the method may be at least as efficient as modern streamline methods when accuracy requirements or the dynamics of the flow allow for large implicit time steps. (C) 2008 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Green & Sustainable Science & Technology

Ranking and categorizing large-scale saline aquifer formations based on optimized CO2 storage potentials and economic factors

Rebecca Allen, Halvor M. Nilsen, Odd Andersen, Knut-Andreas Lie

INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL (2017)

Article Green & Sustainable Science & Technology

Using simplified methods to explore the impact of parameter uncertainty on CO2 storage estimates with application to the Norwegian Continental Shelf

Rebecca Allen, Halvor M. Nilsen, Knut-Andreas Lie, Olav Moyner, Odd Andersen

INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL (2018)

Article Computer Science, Interdisciplinary Applications

Streamline simulation of a reactive advective flow with discontinuous flux function

Masoud Ghaderi Zefreh, Halvor M. Nilsen, Knut Andreas Lie, Xavier Raynaud, Florian Doster

COMPUTATIONAL GEOSCIENCES (2019)

Review Computer Science, Interdisciplinary Applications

Unstructured Voronoi grids conforming to lower dimensional objects

Runar Lie Berge, Oystein Strengehagen Klemetsdal, Knut-Andreas Lie

COMPUTATIONAL GEOSCIENCES (2019)

Article Energy & Fuels

Embedded discrete fracture modeling: Flow diagnostics, non-Darcy flow, and well placement optimization

Shuai Ma, Binshan Ju, Lin Zhao, Knut-Andreas Lie, Yintao Dong, Qilong Zhang, Yapeng Tian

Summary: This paper discusses incorporating non-Darcy flow correction into embedded discrete fracture modeling (EDFM) and validating the resulting method. It also explores formulating grid-based flow diagnostics on top of the new EDFM method for computationally inexpensive predictions of flow patterns and dynamic heterogeneity measurements. Finally, it demonstrates how flow diagnostics can be utilized to optimize well placement and enhance oil recovery.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)

Article Computer Science, Interdisciplinary Applications

The use of flow diagnostics to rank model ensembles

Francesca Watson, Stein Krogstad, Knut-Andreas Lie

Summary: Ensembles of geomodels can be ranked and selected based on flow diagnostics techniques, which provide a quick way to analyze flow behaviors and estimate oil recovery. These tools serve as proxies for full-featured dynamic modeling and help in evaluating a range of possible outcomes for reservoirs.

COMPUTATIONAL GEOSCIENCES (2022)

Article Energy & Fuels

Comparison of two different types of reduced graph-based reservoir models: Interwell networks (GPSNet) versus aggregated coarse-grid networks (CGNet)

Knut-Andreas Lie, Stein Krogstad

Summary: This paper compares two graph-based approaches for building simplified field management optimization models. The first approach represents the reservoir as a graph of 1D numerical flow models, while the second approach aims at building richer models that mimic the intercell connections in a conventional 3D grid model. The comparisons show that graph models with connectivity that mimics the intercell connectivity in coarse 3D models can represent a wider range of fluid connections and are generally more robust and easier to train.

GEOENERGY SCIENCE AND ENGINEERING (2023)

Proceedings Paper Mathematics, Applied

On Holden's seven guidelines for scientific computing and development of open-source community software

Knut-Andreas Lie

NON-LINEAR PARTIAL DIFFERENTIAL EQUATIONS, MATHEMATICAL PHYSICS, AND STOCHASTIC ANALYSIS: THE HELGE HOLDEN ANNIVERSARY VOLME (2018)

Proceedings Paper Green & Sustainable Science & Technology

Using sensitivities and vertical-equilibrium models for parameter estimation of CO2 injection models with application to Sleipner data

Halvor Moll Nilsen, Stein Krogstad, Odd Andersen, Rebecca Allen, Knut-Andreas Lie

13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13 (2017)

Proceedings Paper Green & Sustainable Science & Technology

Categorization of Norwegian Continental Shelf formations in terms of geological CO2 storage potentials

Rebecca Allen, Halvor M. Nilsen, Odd Andersen, Knut-Andreas Lie

13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13 (2017)

Article Computer Science, Interdisciplinary Applications

Fully implicit higher-order schemes applied to polymer flooding

Trine S. Mykkeltvedt, Xavier Raynaud, Knut-Andreas Lie

COMPUTATIONAL GEOSCIENCES (2017)

Article Computer Science, Interdisciplinary Applications

Successful application of multiscale methods in a real reservoir simulator environment

K. -A. Lie, O. Moyner, J. R. Natvig, A. Kozlova, K. Bratvedt, S. Watanabe, Z. Li

COMPUTATIONAL GEOSCIENCES (2017)

Article Computer Science, Interdisciplinary Applications

Efficient flow diagnostics proxies for polymer flooding

Stein Krogstad, Knut-Andreas Lie, Halvor Moll Nilsen, Carl Fredrik Berg, Vegard Kippe

COMPUTATIONAL GEOSCIENCES (2017)

Article Computer Science, Interdisciplinary Applications

Fully implicit simulation of polymer flooding with MRST

Kai Bao, Knut-Andreas Lie, Olav Moyner, Ming Liu

COMPUTATIONAL GEOSCIENCES (2017)

Article Computer Science, Interdisciplinary Applications

On obtaining optimal well rates and placement for CO2 storage

Rebecca Allen, Halvor Moll Nilsen, Odd Andersen, Knut-Andreas Lie

COMPUTATIONAL GEOSCIENCES (2017)

Article Computer Science, Interdisciplinary Applications

A new type of non-polynomial based TENO scheme for hyperbolic conservation laws

Tian Liang, Lin Fu

Summary: In this work, a new shock-capturing framework is proposed based on a new candidate stencil arrangement and the combination of infinitely differentiable non-polynomial RBF-based reconstruction in smooth regions with jump-like non-polynomial interpolation for genuine discontinuities. The resulting scheme achieves high order accuracy and resolves genuine discontinuities with sub-cell resolution.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

A high-order residual-based viscosity finite element method for incompressible variable density flow

Lukas Lundgren, Murtazo Nazarov

Summary: In this paper, a high-order accurate finite element method for incompressible variable density flow is introduced. The method addresses the issues of saddle point system and stability problem through Schur complement preconditioning and artificial compressibility approaches, and it is validated to have high-order accuracy for smooth problems and accurately resolve discontinuities.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Convergence analysis and optimization of a Robin Schwarz waveform relaxation method for time-periodic parabolic optimal control problems

Gabriele Ciaramella, Laurence Halpern, Luca Mechelli

Summary: This paper presents a novel convergence analysis of the optimized Schwarz waveform relaxation method for solving optimal control problems governed by periodic parabolic PDEs. The analysis is based on a Fourier-type technique applied to a semidiscrete-in-time form of the optimality condition, which enables a precise characterization of the convergence factor at the semidiscrete level. The behavior of the optimal transmission condition parameter is also analyzed in detail as the time discretization approaches zero.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Data-driven Whitney forms for structure-preserving control volume analysis

Jonas A. Actor, Xiaozhe Hu, Andy Huang, Scott A. Roberts, Nathaniel Trask

Summary: This article introduces a scientific machine learning framework that uses a partition of unity architecture to model physics through control volume analysis. The framework can extract reduced models from full field data while preserving the physics. It is applicable to manifolds in arbitrary dimension and has been demonstrated effective in specific problems.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Higher-continuity s-version of finite element method with B-spline functions

Nozomi Magome, Naoki Morita, Shigeki Kaneko, Naoto Mitsume

Summary: This paper proposes a novel strategy called B-spline based SFEM to fundamentally solve the problems of the conventional SFEM. It uses different basis functions and cubic B-spline basis functions with C-2-continuity to improve the accuracy of numerical integration and avoid matrix singularity. Numerical results show that the proposed method is superior to conventional methods in terms of accuracy and convergence.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

A cell-centred Eulerian volume-of-fluid method for compressible multi-material flows

Timothy R. Law, Philip T. Barton

Summary: This paper presents a practical cell-centred volume-of-fluid method for simulating compressible solid-fluid problems within a pure Eulerian setting. The method incorporates a mixed-cell update to maintain sharp interfaces, and can be easily extended to include other coupled physics. Various challenging test problems are used to validate the method, and its robustness and application in a multi-physics context are demonstrated.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Two-step multi-resolution reconstruction-based compact gas-kinetic scheme on tetrahedral mesh

Xing Ji, Fengxiang Zhao, Wei Shyy, Kun Xu

Summary: This paper presents the development of a third-order compact gas-kinetic scheme for compressible Euler and Navier-Stokes solutions, constructed particularly for an unstructured tetrahedral mesh. The scheme demonstrates robustness in high-speed flow computation and exhibits excellent adaptability to meshes with complex geometrical configurations.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Multiscale sampling for the inverse modeling of partial differential equations

Alsadig Ali, Abdullah Al-Mamun, Felipe Pereira, Arunasalam Rahunanthan

Summary: This paper presents a novel Bayesian statistical framework for the characterization of natural subsurface formations, and introduces the concept of multiscale sampling to localize the search in the stochastic space. The results show that the proposed framework performs well in solving inverse problems related to porous media flows.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Constrained optimized dynamic mode decomposition with control for physically stable systems with exogeneous inputs

Jacob Rains, Yi Wang, Alec House, Andrew L. Kaminsky, Nathan A. Tison, Vamshi M. Korivi

Summary: This paper presents a novel method called constrained optimized DMD with Control (cOptDMDc), which extends the optimized DMD method to systems with exogenous inputs and can enforce the stability of the resulting reduced order model (ROM). The proposed method optimally places eigenvalues within the stable region, thus mitigating spurious eigenvalue issues. Comparative studies show that cOptDMDc achieves high accuracy and robustness.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

A hybridizable discontinuous Galerkin formulation for the Euler-Maxwell plasma model

Andrea La Spina, Jacob Fish

Summary: This work introduces a hybridizable discontinuous Galerkin formulation for simulating ideal plasmas. The proposed method couples the fluid and electromagnetic subproblems monolithically based on source and employs a fully implicit time integration scheme. The approach also utilizes a projection-based divergence correction method to enforce the Gauss laws in challenging scenarios. Numerical examples demonstrate the high-order accuracy, efficiency, and robustness of the proposed formulation.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Numerical solution of the cavity scattering problem for flexural waves on thin plates: Linear finite element methods

Junhong Yue, Peijun Li

Summary: This paper proposes two numerical methods (IP-FEM and BP-FEM) to study the flexural wave scattering problem of an arbitrary-shaped cavity on an infinite thin plate. These methods successfully decompose the fourth-order plate wave equation into the Helmholtz and modified Helmholtz equations with coupled conditions on the cavity boundary, providing an effective solution to this challenging problem.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Fast and scalable computation of shape-morphing nonlinear solutions with application to evolutional neural networks

William Anderson, Mohammad Farazmand

Summary: We develop fast and scalable methods, called RONS, for computing reduced-order nonlinear solutions. These methods have been proven to be highly effective in tackling challenging problems, but become computationally prohibitive as the number of parameters grows. To address this issue, three separate methods are proposed and their efficacy is demonstrated through examples. The application of RONS to neural networks is also discussed.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

A second order directional split exponential integrator for systems of advection-diffusion-reaction equations

Marco Caliari, Fabio Cassini

Summary: In this paper, a second order exponential scheme for stiff evolutionary advection-diffusion-reaction equations is proposed. The scheme is based on a directional splitting approach and uses computation of small sized exponential-like functions and tensor-matrix products for efficient implementation. Numerical examples demonstrate the advantage of the proposed approach over state-of-the-art techniques.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

A conservative semi-Lagrangian method for inhomogeneous Boltzmann equation

Sebastiano Boscarino, Seung Yeon Cho, Giovanni Russo

Summary: This work proposes a high order conservative semi-Lagrangian method for the inhomogeneous Boltzmann equation of rarefied gas dynamics. The method combines a semi-Lagrangian scheme for the convection term, a fast spectral method for computation of the collision operator, and a high order conservative reconstruction and a weighted optimization technique to preserve conservative quantities. Numerical tests demonstrate the accuracy and efficiency of the proposed method.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)

Article Computer Science, Interdisciplinary Applications

Uniqueness and numerical scheme for spherical shell-structured sources from the far field patterns with at most two frequencies

Jialei Li, Xiaodong Liu, Qingxiang Shi

Summary: This study shows that the number, centers, scattering strengths, inner and outer diameters of spherical shell-structured sources can be uniquely determined from the far field patterns. A numerical scheme is proposed for reconstructing the spherical shell-structured sources, which includes a migration series method for locating the centers and an iterative method for computing the inner and outer diameters without computing derivatives.

JOURNAL OF COMPUTATIONAL PHYSICS (2024)