Kippe et al., 2007 - Google Patents
A method to improve the mass balance in streamline methodsKippe et al., 2007
View PDF- Document ID
- 8370325228783597919
- Author
- Kippe V
- Hægland H
- Lie K
- Publication year
- Publication venue
- SPE Reservoir Simulation Conference
External Links
Snippet
During the last decades, streamline methods have emerged as highly efficient simulation tools that are well-suited for eg, history matching and simulation of large and complex reservoir models. Streamline methods are based on a sequential solution procedure in …
- 238000004088 simulation 0 abstract description 27
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
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/66—Subsurface 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
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/282—Application of seismic models, synthetic seismograms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/624—Reservoir parameters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
-
- 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
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/16—Numerical modeling
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/67—Wave propagation modeling
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V11/00—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chen et al. | A coupled local–global upscaling approach for simulating flow in highly heterogeneous formations | |
Durlofsky et al. | Scale up of heterogeneous three dimensional reservoir descriptions | |
Fumagalli et al. | An upscaling procedure for fractured reservoirs with embedded grids | |
Young | A finite-element method for reservoir simulation | |
Cheng et al. | Field experiences with assisted and automatic history matching using streamline models | |
Jackson et al. | Reservoir modeling for flow simulation using surfaces, adaptive unstructured meshes and control-volume-finite-element methods | |
Caers et al. | A geostatistical approach to streamline-based history matching | |
Møyner et al. | A multiscale restriction-smoothed basis method for compositional models | |
Chin et al. | Fully coupled analysis of improved oil recovery by reservoir compaction | |
Wolff et al. | An adaptive multiscale approach for modeling two‐phase flow in porous media including capillary pressure | |
Ding et al. | Use of corner point geometry in reservoir simulation | |
Alhubail et al. | Extended physics-informed neural networks for solving fluid flow problems in highly heterogeneous media | |
Stenerud et al. | Adaptive multiscale streamline simulation and inversion for high-resolution geomodels | |
Santoshini et al. | Depogrid: Next generation unstructured grids for accurate reservoir modeling and simulation | |
Li et al. | Parallel framework for complex reservoir simulation with advanced discretization and linearization schemes | |
Narayanan et al. | Response surface methods for upscaling heterogeneous geologic models | |
Lu et al. | Iteratively coupled reservoir simulation for multiphase flow | |
Matringe et al. | Tracing streamlines on unstructured grids from finite volume discretizations | |
Kippe et al. | A method to improve the mass balance in streamline methods | |
Raynaud et al. | Toward Accurate Reservoir Simulations on Unstructured Grids: Design of Simple Error Estimators and Critical Benchmarking of Consistent Discretization Methods for Practical Implementation | |
Kamath et al. | Modeling fluid flow in complex naturally fractured reservoirs | |
Edwards | Symmetric flux continuous positive definite approximation of the elliptic full tensor pressure equation in local conservation form | |
Hohl et al. | Field experiences with history matching an offshore turbiditic reservoir using inverse modeling | |
Hurtado et al. | A quadrilateral element-based finite-volume formulation for the simulation of complex reservoirs | |
Negara et al. | 3-D numerical investigation of subsurface flow in anisotropic porous media using multipoint flux approximation method |