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    ARTICLE

    Automatic Channel Detection Using DNN on 2D Seismic Data

    Fahd A. Alhaidari1, Saleh A. Al-Dossary2, Ilyas A. Salih1,*, Abdlrhman M. Salem1, Ahmed S. Bokir1, Mahmoud O. Fares1, Mohammed I. Ahmed1, Mohammed S. Ahmed1

    Computer Systems Science and Engineering, Vol.36, No.1, pp. 57-67, 2021, DOI:10.32604/csse.2021.013843 - 23 December 2020

    Abstract Geologists interpret seismic data to understand subsurface properties and subsequently to locate underground hydrocarbon resources. Channels are among the most important geological features interpreters analyze to locate petroleum reservoirs. However, manual channel picking is both time consuming and tedious. Moreover, similar to any other process dependent on human intervention, manual channel picking is error prone and inconsistent. To address these issues, automatic channel detection is both necessary and important for efficient and accurate seismic interpretation. Modern systems make use of real-time image processing techniques for different tasks. Automatic channel detection is a combination of different… More >

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