Machine Learning in Seismology
  • An Updating Glossary of Seismological Tasks and Relevant Machine Learning Techniques
  • Seismological Tasks
    • Seismic Denoising
    • Event Discrimination
    • Event Detection
    • Phase Picking
    • Phase Association
    • First Motion Polarity Determination
    • Fault Detection
    • Horizon Picking
    • Salt Body Detection
    • Seismic Facies Analysis
    • Seismic Migration
    • Dispersion Curve Extraction
    • Seismic Velocity Picking
    • Seismic Deconvolution
    • Seismic Trace Interpolation
    • First Break Picking
    • Data Extrapolation
    • Exploratory Data Analyses
    • Earthquake Forecasting
    • Ground Motion Characterization
    • Seismic Wave Simulation
    • Earthquake Location Estimation
    • Earthquake Magnitude Estimation
    • Earthquake Source Mechanism
    • Reservoir Characterization
    • Impedance Model Building
    • Seismic Velocity Model Building
  • Machine Learning Terms and Methods
  • Public Datasets
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  • Used ML Approaches:
  • Used Neural Networks:
  • Used Learning Procedures:
  • References:

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  1. Seismological Tasks

Dispersion Curve Extraction

The extraction and classification of dispersion curves (the medium-determined intrinsic relation between surface waves in terms of frequency and phase velocity) is a key step in the inversion of shear-wave velocity using surface-wave methods.

Used ML Approaches:

  • Artificial Neural Networks

Used Neural Networks:

  • CNN

  • U-Net

  • VGG

Used Learning Procedures:

  • Supervised Learning

  • Unsupervised Learning

References:

  1. Zhang, X., Jia, Z., Ross, Z. E., & Clayton, R. W. (2020). Extracting dispersion curves from ambient noise correlations using deep learning. IEEE Transactions on Geoscience and Remote Sensing, 58(12), 8932-8939.

  2. Dai, T., Xia, J., Ning, L., Xi, C., Liu, Y., & Xing, H. (2021). Deep learning for extracting dispersion curves. Surveys in Geophysics, 42(1), 69-95.

  3. Dong, S., Li, Z., Chen, X., & Fu, L. (2021). DisperNet: An Effective Method of Extracting and Classifying the Dispersion Curves in the Frequency–Bessel Dispersion Spectrum. Bulletin of the Seismological Society of America.

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Last updated 3 years ago

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