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

Authors : Betül AĞAOĞLU, Fatima Zehra UNAL, Mehmet Serdar GUZEL, Erkan BOSTANCI, İman ASKERBEYLİ

Pages : 121-126

View : 26 | Download : 15

Publication Date : 2019-12-23

Article Type : Review Paper

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 insert ignore into journalissuearticles values(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