[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Michael et al., 2010 - Google Patents

Combining geologic‐process models and geostatistics for conditional simulation of 3‐D subsurface heterogeneity

Michael et al., 2010

View PDF @Full View
Document ID
13473318967602791209
Author
Michael H
Li H
Boucher A
Sun T
Caers J
Gorelick S
Publication year
Publication venue
Water Resources Research

External Links

Snippet

The goal of simulation of aquifer heterogeneity is to produce a spatial model of the subsurface that represents a system such that it can be used to understand or predict flow and transport processes. Spatial simulation requires incorporation of data and geologic …
Continue reading at agupubs.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/66Subsurface modeling
    • G01V2210/665Subsurface modeling using geostatistical modeling
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/282Application of seismic models, synthetic seismograms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/61Analysis by combining or comparing a seismic data set with other data
    • G01V2210/614Synthetically generated data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30Analysis
    • G01V1/306Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/34Displaying seismic recordings or visualisation of seismic data or attributes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/003Seismic data acquisition in general, e.g. survey design
    • G01V1/005Seismic data acquisition in general, e.g. survey design with exploration systems emitting special signals, e.g. frequency swept signals, pulse sequences or slip sweep arrangements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/67Wave propagation modeling
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/12Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V11/00GEOPHYSICS; 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/38Seismology; Seismic or acoustic prospecting or detecting specially adapted for water-covered areas
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/16Receiving elements for seismic signals; Arrangements or adaptations of receiving elements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/38Processing data, e.g. for analysis, for interpretation, for correction

Similar Documents

Publication Publication Date Title
Michael et al. Combining geologic‐process models and geostatistics for conditional simulation of 3‐D subsurface heterogeneity
Turner The role of three-dimensional geographic information systems in subsurface characterization for hydrogeological applications
Wu et al. Deep learning for characterizing paleokarst collapse features in 3‐D seismic images
Huysmans et al. Application of multiple-point geostatistics on modelling groundwater flow and transport in a cross-bedded aquifer (Belgium)
Oldenburg et al. Geophysical inversion for mineral exploration: A decade of progress in theory and practice
Irving et al. Stochastic inversion of tracer test and electrical geophysical data to estimate hydraulic conductivities
Mariethoz et al. Modeling complex geological structures with elementary training images and transform‐invariant distances
Dai et al. Improving permeability semivariograms with transition probability models of hierarchical sedimentary architecture derived from outcrop analog studies
Moysey et al. A framework for inferring field‐scale rock physics relationships through numerical simulation
Zhou et al. A pattern‐search‐based inverse method
Kessler et al. Modeling fine‐scale geological heterogeneity—examples of sand lenses in tills
Balázs et al. Tectonic and climatic controls on asymmetric half‐graben sedimentation: Inferences from 3‐D numerical modeling
Alcolea et al. Blocking Moving Window algorithm: Conditioning multiple‐point simulations to hydrogeological data
Comunian et al. Training Images from Process-Imitating Methods: An Application to the Lower Namoi Aquifer, Murray-Darling Basin, Australia
Ramanathan et al. Simulating the heterogeneity in braided channel belt deposits: 1. A geometric‐based methodology and code
Song et al. Delineating facies spatial distribution by integrating ensemble data assimilationand indicator geostatistics with level‐set transformation
Zare et al. Reservoir facies and porosity modeling using seismic data and well logs by geostatistical simulation in an oil field
Ye et al. A Markov chain model for characterizing medium heterogeneity and sediment layering structure
Ayodele et al. Static reservoir modeling using stochastic method: A case study of the cretaceous sequence of Gamtoos Basin, Offshore, South Africa
Rubin et al. Spatial variability in river sediments and its link with river channel geometry
Neven et al. A novel methodology for the stochastic integration of geophysical and hydrogeological data in geologically consistent models
Sun et al. Characterization and modeling of spatial variability in a complex alluvial aquifer: implications on solute transport
Jha et al. Parameterization of training images for aquifer 3‐D facies modeling integrating geological interpretations and statistical inference
Fajana 3-D static modelling of lateral heterogeneity using geostatistics and artificial neural network in reservoir characterisation of “P” field, Niger Delta
Ostad et al. Fracture network modeling using petrophysical data, an approach based on geostatistical concepts