Machine learning: Using optimized KNN (K-Nearest Neighbors) to predict the facies classifications
The 13th SEGJ International Symposium, Tokyo, Japan, 12-14 November 2018 Abstract Machine learning is getting more popularity nowadays since it has potential to improve the quality of our life in many fields through data learning and optimization. In a short explanation, machine learning can be seen as non-linear equation optimization that try to predict one output from several input parameters although it may not have any logical relationships. In the world of geoscience work, one challenging problem is lithology estimation from several logs input and/or seismic data....