Encoder-decoder architecture for 3d seismic inversion

HIGHLIGHTS

• who: Maayan Gelboim and colleagues from the TotalEnergies, EP RandT, Houston, TX, USA have published the paper: Encoder-Decoder Architecture for 3D Seismic Inversion, in the Journal: Sensors 2023, 23, 61. of /2023/
• what: The authors implement and analyze a convolutional encoder-decoder architecture that efficiently processes the entire collection of hundreds of seismic shot-gather cubes. The contributions of this paper are threefold: A convolutional encoder-decoder network is proposed with an efficient input data dimensionality reduction and time boosting of all seismic traces, to reconstruct complex 3D models at an average inference time . . .
  

   

  

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