Machine Learning in Seismic Data Processing and Interpretation - Maxim Ryabinskiy

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications There are several most frequent challenges in modern seismic explora- tion that demand the use of machine learning techniques: adjusting the forward and inverse filtering parameters during seismic data processing, pattern recognition during geological strata tracking, the data regular- ization problem, fields interpolation during geological interpretation and geological structures