Review

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

Volume: 3 Number: 2 December 23, 2019
EN

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

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

References

  1. 1. Basheer and Hajmeer, 2000, Artificial neural networks: fundamentals, computing, design, and application, 43, -3-31-.
  2. 2. Yao, 1999, Evolving artificial neural networks, 87, -1423-1447-.
  3. 3. Haykin and Network, 2004, A comprehensive foundation, 2, -41-.
  4. 4. Rojas, Neural networks: a systematic introduction. 2013: Springer Science & Business Media.
  5. 5. Caner and Akarslan, 2009, Mermer Kesme İşleminde Spesifik Enerji Faktörünün ANFIS ve YSA Yöntemleri ile Tahmini, 15, -221-226-.
  6. 6. Harrington, 1993, Transfer functions in artificial neural networks,
  7. 7. Debes, Koenig, and Gross, 2005, Transfer Functions in Artificial Neural Networks A Simulation-Based Tutorial,
  8. 8. Keçeli, 2010, Sismik yöntem ile zemin taşıma kapasitesi ve oturmasının saptanması, 9, -23-41-.

Details

Primary Language

English

Subjects

-

Journal Section

Review

Authors

İman Askerbeyli This is me
Türkiye

Publication Date

December 23, 2019

Submission Date

September 24, 2019

Acceptance Date

November 20, 2019

Published in Issue

Year 2019 Volume: 3 Number: 2

APA
Ağaoğlu, B., Unal, F. Z., Guzel, M. S., Bostancı, E., & Askerbeyli, İ. (2019). A New View on The Processing of Seismic Data With Artificial Neural Networks. International Journal of Multidisciplinary Studies and Innovative Technologies, 3(2), 121-126. https://izlik.org/JA36WM36YL
AMA
1.Ağaoğlu B, Unal FZ, Guzel MS, Bostancı E, Askerbeyli İ. A New View on The Processing of Seismic Data With Artificial Neural Networks. IJMSIT. 2019;3(2):121-126. https://izlik.org/JA36WM36YL
Chicago
Ağaoğlu, Betül, Fatima Zehra Unal, Mehmet Serdar Guzel, Erkan Bostancı, and İman Askerbeyli. 2019. “A New View on The Processing of Seismic Data With Artificial Neural Networks”. International Journal of Multidisciplinary Studies and Innovative Technologies 3 (2): 121-26. https://izlik.org/JA36WM36YL.
EndNote
Ağaoğlu B, Unal FZ, Guzel MS, Bostancı E, Askerbeyli İ (December 1, 2019) A New View on The Processing of Seismic Data With Artificial Neural Networks. International Journal of Multidisciplinary Studies and Innovative Technologies 3 2 121–126.
IEEE
[1]B. Ağaoğlu, F. Z. Unal, M. S. Guzel, E. Bostancı, and İ. Askerbeyli, “A New View on The Processing of Seismic Data With Artificial Neural Networks”, IJMSIT, vol. 3, no. 2, pp. 121–126, Dec. 2019, [Online]. Available: https://izlik.org/JA36WM36YL
ISNAD
Ağaoğlu, Betül - Unal, Fatima Zehra - Guzel, Mehmet Serdar - Bostancı, Erkan - Askerbeyli, İman. “A New View on The Processing of Seismic Data With Artificial Neural Networks”. International Journal of Multidisciplinary Studies and Innovative Technologies 3/2 (December 1, 2019): 121-126. https://izlik.org/JA36WM36YL.
JAMA
1.Ağaoğlu B, Unal FZ, Guzel MS, Bostancı E, Askerbeyli İ. A New View on The Processing of Seismic Data With Artificial Neural Networks. IJMSIT. 2019;3:121–126.
MLA
Ağaoğlu, Betül, et al. “A New View on The Processing of Seismic Data With Artificial Neural Networks”. International Journal of Multidisciplinary Studies and Innovative Technologies, vol. 3, no. 2, Dec. 2019, pp. 121-6, https://izlik.org/JA36WM36YL.
Vancouver
1.Betül Ağaoğlu, Fatima Zehra Unal, Mehmet Serdar Guzel, Erkan Bostancı, İman Askerbeyli. A New View on The Processing of Seismic Data With Artificial Neural Networks. IJMSIT [Internet]. 2019 Dec. 1;3(2):121-6. Available from: https://izlik.org/JA36WM36YL