Abstract:The use of machine learning for seismic interpretation is a growing area of interest for researchers. Manual interpretation demands time and specialized effort. The use of machine learning model will expedite the process. The Convolutional Neural Networks (CNNs) are a class of deep learning algorithms used for images. In this paper, seismic facies segmentation using encoder-decoder architecture of CNNs is proposed. The proposed method filled the gap using a multimodel approach for seismic interpretation. The n… Show more
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