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Method for increasing the resolution of seismic data based on convolutional neural networks
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Data Science in Oil & Gas, Oct 2020, Volume 2020, p.1 - 6
Abstract
Summary
The main problem of seismic research is the extremely low resolution of seismic data. Based on this, specialists need a tool that would be able to increase the resolution of seismic information. In this paper, we study application of convolutional neural networks with short-time Fourier transform to increase the resolution of seismic data. The approach was tested on synthetic seismic data and showed its effectiveness.
© EAGE Publications BV