Nothing Special   »   [go: up one dir, main page]

Li et al., 2022 - Google Patents

Fault detection by skeleton extraction based on orientation field consistency

Li et al., 2022

View HTML
Document ID
14377024920223569048
Author
Li Y
Zhong B
Xu X
Liang Z
Publication year
Publication venue
Plos one

External Links

Snippet

A fault detection method using skeleton extraction based on orientation field consistency is proposed to improve the efficiency of fault detection, reduce the influence of transverse nonstructural factors on fault detection, and realize automatic fault extraction. In fingerprint …
Continue reading at journals.plos.org (HTML) (other versions)

Classifications

    • 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
    • G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • 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
    • 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
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/64—Geostructures, e.g. in 3D data cubes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image 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
    • 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
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light

Similar Documents

Publication Publication Date Title
Qi et al. Semisupervised multiattribute seismic facies analysis
Wang et al. Successful leveraging of image processing and machine learning in seismic structural interpretation: A review
US9704263B2 (en) Methods of and apparatuses for identifying geological characteristics in boreholes
Admasu et al. Autotracking of faults on 3D seismic data
US20200292723A1 (en) Method and Apparatus for Automatically Detecting Faults Using Deep Learning
Di et al. Semi‐automatic fault/fracture interpretation based on seismic geometry analysis
US10578758B2 (en) Sequence pattern characterization
Yan et al. Automatic fault tracking based on ant colony algorithms
Khayer et al. Combination of seismic attributes using graph-based methods to identify the salt dome boundary
Yan et al. Fault image enhancement using a forward and backward diffusion method
Mahadik et al. Fault detection and optimization in seismic dataset using multiscale fusion of a geometric attribute
US12124949B2 (en) Methodology for learning a similarity measure between geophysical objects
AlSalmi et al. Automated seismic semantic segmentation using attention U-Net
Li et al. Fault detection by skeleton extraction based on orientation field consistency
Lomask Seismic volumetric flattening and segmentation
Boustani et al. Detection in seismic data using curvelet transform and tensor-based elliptical adaptive structuring elements
Ye et al. Rapid and Consistent Identification of Stratigraphic Boundaries and Stacking Patterns in Well Logs-An Automated Process Utilizing Wavelet Transforms and Beta Distributions
Qi* et al. Segmentation of salt domes, mass transport complexes on 3D seismic data volumes using Kuwahara windows and multiattribute cluster analysis
Singh et al. Seismic multi-attribute approach using visual saliency for subtle fault visualization
Song et al. Pre-stack-texture-based reservoir characteristics and seismic facies analysis
O'Malley et al. Towards robust structure-based enhancement and horizon picking in 3-d seismic data
Boustani et al. Channel boundary detection using a 3D morphological filter and adaptive ellipsoidal structuring element
Soltani et al. Proposing new seismic texture attributes based on novel gray level matrix with application to salt dome detection
Horrocks et al. A nonparametric boundary detection technique applied to 3D inverted surveys of the Kevitsa Ni-Cu-PGE deposit
Alhaidari et al. Automatic Channel Detection Using DNN on 2D Seismic Data.