Check out the latest features in the Paradise® software. Paradise 3.2 boasts exciting additions such as Geobodies, High Performance Computing, and Banded Attributes.
Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data
Deborah Sacrey, Owner and Geophysicist of Auburn Energy, provides a review of the various attribute categories and their possible machine learning application to solve problems in seismic interpretation.
A review of the various attribute categories and their possible application.
The accurate interpretation of DHI characteristics has proven to significantly improve the success rates of drilling commercial wells. In this webinar, Rocky Roden looks at seismic multi-attribute analysis using Self-Organizing Maps (SOMs), a machine learning approach that distills information from numerous attributes to provide an accurate assessment of DHI characteristics.