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

Seismic Deconvolution

The removal of source effects. It is an important pre-migration data processing tasks.

Used ML Approaches:

  • Artificial Neural Networks

Used Neural Networks:

  • RNN

Used Learning Procedures:

  • Supervised Learning

References:

  1. Calderón-Macías, C., Sen, M. K., & Stoffa, P. L. (1997). Hopfield neural networks, and mean field annealing for seismic deconvolution and multiple attenuation. Geophysics, 62(3), 992-1002.

  2. Harrigan, E., Kroh, J. R., Sandham, W. A., & Durrani, T. S. (1991, November). Seismic wavelet extraction using artificial neural networks. In 1991 Second International Conference on Artificial Neural Networks (pp. 95-99). IET.

  3. Wang, L. X., & Mendel, J. M. (1992). Adaptive minimum prediction-error deconvolution and source wavelet estimation using Hopfield neural networks. Geophysics, 57(5), 670-679.

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Last updated 3 years ago

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