Seismic Exploration Deconvolution

MATLAB 10K 248 views 0 downloads 1 credits
Tags:

Resource Overview

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.

Detailed Documentation

Among the three primary processing stages in seismic exploration, deconvolution stands as a classic procedure that every seismic exploration learner (whether undergraduate or graduate) must master. To better understand deconvolution, one needs to grasp fundamental concepts including common processing methods and seismic wave properties. Implementation typically involves algorithms like Wiener filtering or predictive deconvolution, often executed through MATLAB functions such as deconv or specialized seismic processing toolkits. Additionally, understanding common deconvolution pitfalls—such as improper wavelet estimation or noise amplification—is crucial for effective problem identification and resolution. Therefore, mastering deconvolution requires deep comprehension of both its theoretical principles and practical applications, including hands-on coding experience with seismic data processing workflows.

You May Also Like