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. To keep informed of major updates, subscribe to our google group here.
Citation
If you use OpenFWI Datasets in your work, please cite our paper (Bibtex below).
@article{deng2021openfwi,
title={{OpenFWI:} Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion},
author={Deng,Chengyuan and Feng, Shihang and Wang, Hanchen and Zhang, Xitong and Jin, Peng and Feng, Yinan and Zeng, Qili and Chen, Yinpeng and Lin, Youzuo },
journal={arXiv preprint arXiv:2111.02926},
year={2021}
}