Geiger et al., 2009 - Google Patents
Massively parallel sector scale discrete fracture and matrix simulationsGeiger et al., 2009
- Document ID
- 11139288408089394960
- Author
- Geiger S
- Huangfu Q
- Reid F
- Matthäi S
- Coumou D
- Belayneh M
- Fricke C
- Schmid K
- Publication year
- Publication venue
- SPE Reservoir Simulation Conference
External Links
Snippet
We have been able to solve a reservoir simulation problem which was previously thought of as intractable: We simulated multiphase displacement, including viscous, capillary, and gravitational forces, for highly resolved and geologically realistic models of naturally …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5018—Computer-aided design using simulation using finite difference methods or finite element methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/16—Numerical modeling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3457—Performance evaluation by simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V99/00—Subject matter not provided for in other groups of this subclass
- G01V99/005—Geomodels or geomodelling, not related to particular measurements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/701—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for molecular modelling, e.g. calculation and theoretical details of quantum mechanics, molecular mechanics, molecular dynamics, Monte Carlo methods, conformational analysis or the like
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Geiger et al. | Black-oil simulations for three-component, three-phase flow in fractured porous media | |
Geiger et al. | Combining finite element and finite volume methods for efficient multiphase flow simulations in highly heterogeneous and structurally complex geologic media | |
Fumagalli et al. | An upscaling procedure for fractured reservoirs with embedded grids | |
Young | A finite-element method for reservoir simulation | |
Matthäi et al. | Numerical simulation of multi-phase fluid flow in structurally complex reservoirs | |
Zhou et al. | Operator-based multiscale method for compressible flow | |
Jenny et al. | Adaptive fully implicit multi-scale finite-volume method for multi-phase flow and transport in heterogeneous porous media | |
Monteagudo et al. | Control‐volume method for numerical simulation of two‐phase immiscible flow in two‐and three‐dimensional discrete‐fractured media | |
CN101310272B (en) | Multi-scale finite-volume method for use in subsurface flow simulation | |
Chen et al. | Inertial effects during the process of supercritical CO2 displacing brine in a sandstone: Lattice Boltzmann simulations based on the continuum‐surface‐force and geometrical wetting models | |
Salinas et al. | Improving the robustness of the control volume finite element method with application to multiphase porous media flow | |
Jin et al. | Fully coupled nonlinear fluid flow and poroelasticity in arbitrarily fractured porous media: A hybrid‐dimensional computational model | |
Liu et al. | A parallel framework for reservoir simulators on distributed-memory supercomputers | |
Moortgat et al. | Mixed-hybrid and vertex-discontinuous-Galerkin finite element modeling of multiphase compositional flow on 3D unstructured grids | |
Wang et al. | A parallel finite element method for two-phase flow processes in porous media: OpenGeoSys with PETSc | |
Mendicino et al. | Three‐dimensional unsaturated flow modeling using cellular automata | |
Clees et al. | An efficient algebraic multigrid solver strategy for adaptive implicit methods in oil-reservoir simulation | |
Zhang et al. | A tracing algorithm for flow diagnostics on fully unstructured grids with multipoint flux approximation | |
He et al. | Finite volume multiscale finite element method for solving the groundwater flow problems in heterogeneous porous media | |
Puscas et al. | Application of the mixed multiscale finite element method to parallel simulations of two-phase flows in porous media | |
Geiger et al. | Massively parallel sector scale discrete fracture and matrix simulations | |
Šístek et al. | BDDC for mixed‐hybrid formulation of flow in porous media with combined mesh dimensions | |
de la Cruz et al. | Parallel numerical simulation of two-phase flow model in porous media using distributed and shared memory architectures | |
Luo et al. | An efficient and parallel scalable geomechanics simulator for reservoir simulation | |
Lipnikov et al. | Adaptive strategies in the multilevel multiscale mimetic (M 3) method for two-phase flows in porous media |