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