Published August 28, 2021 | Version v1

Convolutional-neural-network-based reflection full-waveform inversion

  • 1. Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
  • 2. The University of Texas at Dallas, Richardson, TX 75080-3021, USA

Description

The data is used by the paper "Convolutional-neural-network-based reflection 1 full-waveform inversion"

Files

JGR_CNN_RFWI.zip

Files (716.4 MB)

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