[go: up one dir, main page]

Sahni et al., 2006 - Google Patents

Stochastic history matching and data integration for complex reservoirs using a wavelet-based algorithm

Sahni et al., 2006

Document ID
17660640159932571087
Author
Sahni I
Horne R
Publication year
Publication venue
SPE Annual Technical Conference and Exhibition?

External Links

Snippet

This work develops a generalized wavelet-based methodology for stochastic data integration in complex reservoirs models. This is an extension of our earlier work for simpler reservoir descriptions (Sahni 2003; Sahni and Horne 2005, 2006). A single history-matched …
Continue reading at onepetro.org (other versions)

Classifications

    • 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
    • G01V2210/665—Subsurface modeling using geostatistical modeling
    • 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
    • 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
    • G01V1/282—Application of seismic models, synthetic seismograms
    • 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
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/38—Processing data, e.g. for analysis, for interpretation, for correction
    • 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
    • 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
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/003—Seismic data acquisition in general, e.g. survey design
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Rwechungura et al. Advanced history matching techniques reviewed
Suzuki et al. A distance-based prior model parameterization for constraining solutions of spatial inverse problems
Gringarten et al. Methodology for variogram interpretation and modeling for improved reservoir characterization
Sahni et al. Multiresolution wavelet analysis for improved reservoir description
Wen et al. High-resolution reservoir models integrating multiple-well production data
Zhang et al. Automatic history matching in a Bayesian framework, example applications
Cheng et al. Field experiences with assisted and automatic history matching using streamline models
CA2655232A1 (en) Upscaling of reservoir models by reusing flow solutions from geologic models
Yarus et al. Practical geostatistics-an armchair overview for petroleum reservoir engineers
US10197697B2 (en) Modeling subterranean formation permeability
Obidegwu et al. Seismic assisted history matching using binary maps
Mustapha et al. Geologic heterogeneity representation using high‐order spatial cumulants for subsurface flow and transport simulations
Chu et al. Reservoir description from static and well-test data using efficient gradient methods
Sahni et al. Generating multiple history-matched reservoir model realizations using wavelets
Yin et al. Enhancement of dynamic reservoir interpretation by correlating multiple 4D seismic monitors to well behavior
Sahni et al. Stochastic history matching and data integration for complex reservoirs using a wavelet-based algorithm
Deutsch et al. Geostatistical modeling of permeability with annealing cosimulation (ACS)
Stephen et al. Reducing reservoir prediction uncertainty by updating a stochastic model using seismic history matching
Stephen et al. Reducing reservoir prediction uncertainty using seismic history matching
Hamdi et al. Calibrating multi-point geostatistical models using pressure transient data
Alpak et al. Stochastic history matching of a deepwater turbidite reservoir
Stephen Seismic history matching with saturation indicators combined with multiple objective function optimization
Akin et al. Combination of well log and pore-scale data to predict petrophysical properties of diatomite
Wen et al. Production data integration in sand/shale reservoirs using sequential self-calibration and geomorphing: A comparison
Tarrahi et al. Improved geological model calibration through sparsity-promoting Ensemble Kalman filter