Paradise - Reveal Stratigraphy Software through Machine Learning

Using the Paradise® AI workbench, geoscientists can generate and analyze seismic data at the sample level, well beyond a wavelet. This powerful capability, along with the application of machine learning to Multi-Attribute Classification, produces profound, sometimes surprising results, particularly the ability to detect features below conventional seismic tuning thickness. Attribute Selection is done through the use of Principal Component Analysis (PCA), and Multi-Attribute Classification is based on the highly robust Self-Organizing Map (SOM) technique, which is applicable with or without well control. This means the workbench tools described are applicable in both exploration and production.