Cellular neural network for seismic horizon picking

Kou-Yuan Huang*, Chin Hua Chang, Wen Shiang Hsieh, Shan Chih Hsieh, Luke K. Wang, Fan Jen Tsai

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

Cellular neural network has the property of local connection. We use this property for seismic horizon linking. The constraint conditions for detecting seismic horizons are used to construct the Lyapunov energy function. The connection weights between neurons are extracted from Lyapunov energy function. Substitute the connection weights into the equation of motion, the next state value of each neuron can be calculated. After training, we apply the equation of motion to seismic horizon linking. From the experimental results in seismic bright spot pattern, the picked horizons can match the visual inspection. The automatic seismic horizon picking can help the seismic data processing and improve the seismic interpretation.

Original languageEnglish
Pages219-222
Number of pages4
StatePublished - 31 Oct 2005
Event9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA - Hsinchu, Taiwan
Duration: 28 May 200530 May 2005

Conference

Conference9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA
CountryTaiwan
CityHsinchu
Period28/05/0530/05/05

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