Wavefield Forward Modeling Using the Finite Difference Method
Seismic exploration using finite difference method for wavefield forward modeling with a simple layered geological model
Seismic Exploration Deconvolution
Deconvolution is one of the three fundamental processing stages in seismic exploration, representing a classic program that both undergraduate and graduate students in seismic studies must master. This section covers essential algorithms and implementation approaches for effective seismic data processing.
Seismic Deconvolution Program for Exploration Data Processing
MATLAB deconvolution program designed for seismic exploration data processing to enhance resolution through signal restoration algorithms.
Spectral Ratio Method for Q-Value Estimation in Seismic Exploration
Spectral Ratio Method for Q-Value Estimation is a fundamental technique in seismic exploration that determines subsurface attenuation properties by analyzing frequency-dependent amplitude decay in seismic signals.
AVO Theory - New Technology in Seismic Exploration
AVO theory in seismic exploration technology focuses on the variation patterns of P-wave reflection coefficients and converted wave reflection coefficients with incident angles, covering four approximate calculation methods including the complete Zoeppritz equation. The implementation typically involves matrix operations for solving reflection coefficients and angle-dependent amplitude analysis algorithms.
Ricker Wavelet for Seismic Exploration
Several small programs implementing Ricker wavelets for seismic exploration, including both zero-phase and minimum-phase versions with signal processing implementations.
The Marmousi Model in Seismic Exploration with MATLAB Visualization and Interpolation Techniques
Implementation of the widely-used Marmousi model in seismic exploration using MATLAB for original visualization and processing with various interpolation methods including linear, nearest-neighbor, and bilinear interpolation algorithms
Synthetic Seismic Forward Modeling Serves as the Foundation for Three-Dimensional Model Calculations
Synthetic seismic forward modeling forms the basis for conducting 3D model computations. Aligned with seismic exploration principles, this paper leverages MATLAB's robust mathematical computation and data visualization capabilities to generate synthetic seismograms for a three-layer medium model. The implementation involves key functions for wave propagation simulation and signal processing algorithms to create accurate seismic representations.
Okada Model Inversion Implementation
Inversion is a crucial technique in seismic exploration. This code implements Okada model inversion, which is extremely valuable for geophysical prospectors as it enables precise subsurface deformation analysis through robust mathematical modeling.
Seismic Exploration Source Code
MATLAB source code designed for seismic exploration applications, featuring comprehensive toolbox programs for geophysical data analysis