The Marmousi Model in Seismic Exploration with MATLAB Visualization and Interpolation Techniques

Resource Overview

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

Detailed Documentation

In seismic exploration research, the Marmousi model is frequently employed to simulate seismic wave propagation. To enhance the analysis and processing of these models, researchers utilize MATLAB to generate the original visualization and apply multiple interpolation methods such as linear interpolation, nearest-neighbor interpolation, and bilinear interpolation to process the Marmousi dataset. These processing techniques enable researchers to better understand seismic wave propagation patterns and provide more detailed and accurate data support for in-depth seismic exploration studies. The implementation typically involves using MATLAB's built-in functions like interp1 for linear interpolation, assigning nearest data point values for nearest-neighbor approach, and interp2 for 2D bilinear interpolation operations on the velocity model grid.