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OpenFWI is a collection of large-scale, multi-structural benchmark datasets for machine learning driven seismic FWI. We release twelve datasets synthesized from different priors, including one 3D dataset. We also provide baseline experimental results with four deep learning methods: InversionNet, VelocityGAN, UPFWI and InversionNet3D.

OpenFWI is the first open-source platform to facilitate data-driven FWI research. It will be actively developed and the datasets are expected to evolve.

The OpenFWI platform can be found HERE.

The full paper can be found on arxiv:

OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion

OpenFWI platform: https://openfwi-lanl.github.io