09FORCE Vonnet Using Machine Learning for Automated Seismic Facies Classification
Channel: Force Seminars
Date: 2018-10-02

Title: Using Machine Learning for Automated Seismic Facies Classification
Use of machine learning has proven particularly successful in classification related use cases. In this case study, we review the use of a new ensemble neural network approach (DNNA) to predict reservoir facies. The supervised algorithm accepts both post stack seismic and well log data in order to make predictions that have shown to provide around 90% accuracy. During this case study similar classes of machine learning algorithms will be evaluated for comparison.