Porosity prediction from pre-stack seismic data via a data-driven approach

Naxia Yang,Guofa Li,Pingqi Zhao,Jialiang Zhang,Dongfeng Zhao

Journal of Applied Geophysics（2023）

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Abstract

•We conduct the porosity prediction based on the long short-term memory (LSTM) neural network model for the first time.•We compare the prediction results with classical convolutional Neural Networks (CNNs).•The proposed method does not rely on the rock physics models and inversion algorithms.

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Key words

Porosity prediction,Machine learning,Reservoir characterization,Pre-stack inversion,Neural networks

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