OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion

Neural Information Processing Systems 

Full waveform inversion (FWI) is widely used in geophysics to reconstruct high-resolution velocity maps from seismic data. The recent success of data-driven FWI methods results in a rapidly increasing demand for open datasets to serve the geophysics community. We present OpenFWI, a collection of large-scale multi-structural benchmark datasets, to facilitate diversified, rigorous, and reproducible research on FWI. In particular, OpenFWI consists of 12 datasets ( 2.1 TB in total) synthesized from multiple sources. It encompasses diverse domains in geophysics (interface, fault, CO _2 reservoir, etc.), covers different geological subsurface structures (flat, curve, etc.), and contain various amounts of data samples (2K - 67K). It also includes a dataset for 3D FWI.