Reservoir simulations : machine learning and modeling /

Reservoir Simulation: Machine Learning and Modeling helps the engineer step into the current and most popular advances in reservoir simulation, learning from current experiments and speeding up potential collaboration opportunities in research and technology. This reference explains common terminolo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Sun, Shuyu (Autor), Zhang, Tao (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, MA : Gulf Professional Publishing, [2020]
Temas:
Machine learning.
Computer simulation.
Computer Simulation
Machine Learning
Apprentissage automatique.
Simulation par ordinateur.
simulation.
Computer simulation
Machine learning
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Reservoir Simulations
  • Copyright Page
  • Contents
  • Preface
  • 1. Introduction
  • 1.1 Introduction
  • 1.2 Definitions
  • 1.2.1 General definitions
  • 1.3 Single-phase rock properties
  • 1.4 Wettability
  • 1.5 Fluid displacement processes
  • 1.6 Multiphase rock/fluid properties
  • 1.6.1 Two-phase relative permeability
  • 1.6.2 Three-phase relative permeability
  • 1.7 Terms
  • 1.7.1 Navier-Stokes equations
  • 1.7.1.1 Conservation of mass (continuity equation)
  • 1.7.1.2 Conservation of linear momentum
  • 1.7.1.3 Conservation of energy
  • References
  • Further reading
  • 2. Review of classical reservoir simulation
  • 2.1 Sharp interface models
  • 2.1.1 Modeling of two-phase flows at pore scale
  • 2.1.2 Sharp interface models and interfacial conditions
  • 2.1.2.1 Sharp interface models
  • 2.1.2.2 Interfacial conditions
  • 2.1.3 Numerical methods for sharp interface models
  • 2.1.3.1 Volume of fluid method
  • 2.1.3.2 Level set method
  • 2.1.3.3 Volume of fluid and level set method
  • 2.1.3.4 Method of moving grids
  • 2.1.3.5 Method of marker particles
  • 2.1.3.6 Comparison among numerical methods
  • 2.2 Cahn-Hilliard-based diffuse interface models
  • 2.2.1 Motivation and derivation of the Cahn-Hilliard model
  • 2.2.1.1 Background
  • 2.2.1.2 Motivation of (time-dependent) Cahn-Hilliard equation
  • 2.2.2 A formal derivation of the N-S/C-H model
  • 2.2.2.1 Anisotropy of the stress tensor
  • 2.2.2.2 A planar interface
  • 2.2.3 Consistency of the N-S interfacial term and C-H model
  • 2.2.3.1 Equilibrium condition and partial differential equation from Cahn-Hilliard model
  • 2.2.3.2 Implication of equilibrium partial differential equation
  • 2.2.3.3 Equation for mechanical equilibrium
  • 2.2.3.4 Consistency of equilibrium conditions
  • 2.2.4 The N-S/C-H model with boundary and initial conditions
  • 2.2.4.1 No-slip boundary conditions
  • 2.2.4.2 Momentum and mass balances
  • 2.2.4.3 Generalized Navier boundary condition
  • 2.2.4.4 Dynamic boundary conditions and nonpenetration boundary conditions
  • 2.2.4.5 Dimensionless modeling equations and boundary conditions
  • 2.3 Dynamic Van der Waals theory
  • 2.3.1 Motivation
  • 2.3.2 Introduction of dynamic Van der Waals theory
  • 2.3.2.1 van der Waals theory
  • 2.3.2.2 Gradient theory and equilibrium conditions
  • 2.3.3 Generalized hydrodynamic equations
  • 2.4 Multiphase porous flow solvers
  • 2.4.1 Incompressible two-phase flow solver
  • 2.4.1.1 Choice of primary variables
  • 2.4.1.2 Modeling of wells
  • 2.4.1.3 Pressure equation for two-phase flow
  • 2.4.1.4 Saturation equation for two-phase flow
  • 2.4.1.5 The implicit pressure, explicit saturation formulation for incompressible two-phase flow
  • 2.4.1.6 A revised implicit pressure, explicit saturation formulation by Hoteit and Firoozabadi
  • 2.4.2 The implicit pressure, explicit saturation method for compressible two-phase porous flow
  • 2.4.2.1 Compressible two-phase flow equations

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