Seismic Data Analysis Techniques

This page (under construction) lists Igor Morozov�s current and recent interests in seismic methodology

Multi-component data analysis and seismic attributes:

• Separation of P- and S waves and polarization analysis of VSP and wide-angle data
• Instantaneous multi-component seismic attributes;
• Amplitude Variation with Offset attributes;
• Elastic Impedance and related attributes in reflection imaging and interpretation.

Inversion and Tomography:

• 2-D forward modeling and inversion in crooked-line geometry
• 3-D and 2-D refraction/reflection travel-time tomography.
• Attenuation measurements and tomography;
• 3D teleseismic Receiver Function imaging.

Nonlinear inversion:

• Artificial intelligence and pattern recognition for the analysis of seismic data.
• Use of genetic algorithms to derive and validate ray-tracing models.
• Resolution analysis of ray-tracing models using artificial neural networks

Expert systems:

• Expert systems for reservoir characterization.
• Expert system in seismic processing

Statistical and stochastic analysis of well logs

• Statistically significant depth-dependent distributions
• Fractal properties of the logs

Computer applications in seismology (see the SIA processing system):

• Polarization analysis and filtering, adaptive filtering,
• High-resolution statistical velocity determination,
• Wide-angle migration and imaging,
• Artificial neural networks, genetic algorithms in travel-time and waveform inversion; refraction/reflection travel-time field inversion;
• 3D visualization;
• Integrated software development from field acquisition to 3D imaging.

 This page is under development by Igor B. Morozov, Last updated February 11, 2007