[go: up one dir, main page]

Odling et al., 2004 - Google Patents

Permeability scaling properties of fault damage zones in siliclastic rocks

Odling et al., 2004

Document ID
17005414183559732243
Author
Odling N
Harris S
Knipe R
Publication year
Publication venue
Journal of Structural Geology

External Links

Snippet

Natural fault damage zones are composed of clusters of sub-seismic-scale faults surrounding larger faults. In siliclastic rocks these faults often form partial barriers to flow and significantly influence fluid flow. A three-dimensional statistical model of fault damage zone …
Continue reading at www.sciencedirect.com (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
    • 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
    • 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
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/62—Physical property of subsurface
    • 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
    • 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
    • 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
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/18—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging
    • G01V3/30—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging operating with electromagnetic waves
    • 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
    • G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
    • 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
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/25—Methods for stimulating production
    • E21B43/26—Methods for stimulating production by forming crevices or fractures
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • E21B47/10—Locating fluid leaks, intrusions or movements
    • E21B47/1015—Locating fluid leaks, intrusions or movements using tracers: using radioactivity

Similar Documents

Publication Publication Date Title
Odling et al. Permeability scaling properties of fault damage zones in siliclastic rocks
Haldorsen Simulator parameter assignment and the problem of scale in reservoir engineering
Bogoni et al. Modeling meander morphodynamics over self‐formed heterogeneous floodplains
Cacas et al. Nested geological modelling of naturally fractured reservoirs
Azizmohammadi et al. Is the permeability of naturally fractured rocks scale dependent?
De Joussineau et al. The evolution of the damage zone with fault growth in sandstone and its multiscale characteristics
Sternlof et al. Flow and transport effects of compaction bands in sandstone at scales relevant to aquifer and reservoir management
Li et al. Three‐dimensional geostatistical inversion of flowmeter and pumping test data
Egya et al. Analysing the limitations of the dual-porosity response during well tests in naturally fractured reservoirs
Thomas et al. Permeability of three‐dimensional numerically grown geomechanical discrete fracture networks with evolving geometry and mechanical apertures
Moreton et al. The physical scale modelling of braided alluvial architecture and estimation of subsurface permeability
Hitchmough et al. Estimating the hydraulic properties of the fracture network in a sandstone aquifer
Soleimani Naturally fractured hydrocarbon reservoir simulation by elastic fracture modeling
Liu et al. A predictive model correlating permeability to two-dimensional fracture network parameters
Kang et al. Sequential approach to joint flow‐seismic inversion for improved characterization of fractured media
Zhang et al. Equivalent hydraulic conductivity of an experimental stratigraphy: Implications for basin‐scale flow simulations
Fryer et al. Quantification of the bed‐scale architecture of submarine depositional environments
MacBeth et al. Exploring the effect of meso‐scale shale beds on a reservoir's overall stress sensitivity to seismic waves
Chen Equivalent permeability distribution for fractured porous rocks: the influence of fracture network properties
Ostad et al. Fracture network modeling using petrophysical data, an approach based on geostatistical concepts
Tarhuni et al. A review of the dynamic modeling approaches for characterizing fluid flow in naturally fractured reservoirs
Li et al. Facies-controlled geostatistical porosity model for estimation of the groundwater potential area in Hongliu Coalmine, Ordos Basin, China
Tyler et al. Heterogeneity modeling used for production simulation of a fluvial reservoir
Chen Equivalent permeability distribution for fractured porous rocks: correlating fracture aperture and length
Sakaki et al. On the value of lithofacies data for improving groundwater flow model accuracy in a three‐dimensional laboratory‐scale synthetic aquifer