[go: up one dir, main page]

Ansari, 2014 - Google Patents

Development of a surrogate simulator for two-phase subsurface flow simulation using trajectory piecewise linearization

Ansari, 2014

View HTML @Full View
Document ID
9777403701158012212
Author
Ansari E
Publication year
Publication venue
Journal of Petroleum Exploration and Production Technology

External Links

Snippet

Reduced-order modeling (ROM) is a novel approach in all realms of computational science including reservoir simulation. Among various ROM methods, trajectory piecewise linearization (TPWL) is evolving for reservoir engineering applications. Previous …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • G06F17/5018Computer-aided design using simulation using finite difference methods or finite element methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • G06F17/5036Computer-aided design using simulation for analog modelling, e.g. for circuits, spice programme, direct methods, relaxation methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5086Mechanical design, e.g. parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • G06F2217/16Numerical modeling
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V99/00Subject matter not provided for in other groups of this subclass
    • G01V99/005Geomodels or geomodelling, not related to particular measurements

Similar Documents

Publication Publication Date Title
Jansen et al. Use of reduced-order models in well control optimization
Lunati et al. Multiscale finite-volume method for compressible multiphase flow in porous media
Gildin et al. Nonlinear complexity reduction for fast simulation of flow in heterogeneous porous media
Lerlertpakdee et al. Efficient production optimization with flow-network models
Xiao et al. Non‐intrusive reduced‐order modeling for multiphase porous media flows using Smolyak sparse grids
US7765091B2 (en) Method, apparatus and system for reservoir simulation using a multi-scale finite volume method including black oil modeling
Heister et al. Efficient augmented Lagrangian‐type preconditioning for the Oseen problem using Grad‐Div stabilization
Rousset et al. Reduced-order modeling for thermal recovery processes
US10534877B2 (en) Adaptive multiscale multi-fidelity reservoir simulation
Yoon et al. Hyper-reduced-order models for subsurface flow simulation
Sorek et al. Model order reduction and control polynomial approximation for well-control production optimization
Mohajeri et al. A novel linear solver for simulating highly heterogeneous black oil reservoirs
Ansari Development of a surrogate simulator for two-phase subsurface flow simulation using trajectory piecewise linearization
US20230125944A1 (en) Oil and gas reservoir simulator
Krogstad et al. A multiscale mixed finite-element solver for three-phase black-oil flow
Sheth et al. Localized linear systems in sequential implicit simulation of two-phase flow and transport
Dye et al. An adaptive lattice Boltzmann scheme for modeling two‐fluid‐phase flow in porous medium systems
Li et al. Local–global upscaling for compositional subsurface flow simulation
Abdelazim An integrated approach for relative permeability estimation of fractured porous media: laboratory and numerical simulation studies
Gildin et al. Closed-loop reservoir management: Do we need complex models?
Suwartadi et al. Adjoint-based surrogate optimization of oil reservoir water flooding
Szyndel et al. Implementing a hardware agnostic commercial black-oil reservoir simulator
Zhang et al. Variational multiscale element free Galerkin method for the water wave problems
Archer Computing flow and pressure transients in heterogeneous media using boundary element methods
Cardoso Reduced-order models for reservoir simulation