Automatic salt deposits segmentation: A deep learning approach

Understand

One of the most important applications of seismic reflection is the hydrocarbon exploration which is closely related to salt deposits analysis.

• This problem is very important even nowadays due to it's non-linear nature.
• Taking into account the recent developments in deep learning networks TGS-NOPEC Geophysical Company hosted the Kaggle competition for salt deposits segmentation problem in seismic image data.
• In this paper, we demonstrate the great performance of several novel deep learning techniques merged into a single neural network which achieved the 27th place (top 1%) in the mentioned competition.