This course delves into the theory and practical applications of 3D seismic data interpretation using seismic attributes for reservoir characterization. Students will gain a comprehensive understanding of various seismic attribute analysis techniques and their application in identifying and characterizing subsurface geological features. The course emphasizes hands-on experience through guided laboratory exercises, allowing students to develop practical skills in seismic data manipulation, attribute computation, and interpretation.

Throughout the course, students will explore a wide range of seismic attributes, including geometric, spectral, and texture attributes. They will learn how to condition seismic amplitude data, enhance attribute images, and apply advanced techniques such as multiattribute analysis, dimensionality reduction, and machine learning-based classification methods. By the end of the course, students will be equipped with the knowledge and skills to effectively use seismic attributes for improved reservoir characterization and interpretation.