A New View on The Processing of Seismic Data With Artificial Neural Networks

Year 2019, Volume: 3 Issue: 2, 121 - 126, 23.12.2019

Betül Ağaoğlu Fatima Zehra Unal Mehmet Serdar Guzel Erkan Bostancı İman Askerbeyli

Abstract

Artificial Intelligence, which works on the ability to learn in
machines, has a widespread field of research. One of the most researched topics
of artificial intelligence is artificial neural networks. Artificial neural
networks are effective today with the solution of complex problems, calculation
and processing of information. Seismic method, which is one of the basic
applications of geophysical field, is widely used especially for the detection
of oil by using seismic waves. With the literature review, it is seen that the
types of artificial neural network architectures are used. It has been
determined that different methods are used in the processing of seismic data.
Using the convolutional neural network (CNN), one of the artificial neural
network architectures, it is aimed to achieve success in oil detection by
seismic waves.

Keywords

Artificial intelligence, Artificial neural networks, CNN, seismic data

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