Yanhua Liu

most cited

E^{FWI}

: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties

4 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

physics.geo-ph2023★ 4 cited

$E^{FWI}$ : Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties

Shihang Feng, Hanchen Wang, Chengyuan Deng +6

Elastic geophysical properties (such as P- and S-wave velocities) are of great importance to various subsurface applications like CO $_{2}$ sequestration and energy exploration (e.g.,…

physics.geo-ph2022★ 2 cited

Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks

Yanhua Liu, Xitong Zhang, Ilya Tsvankin +1

Monitoring changes inside a reservoir in real time is crucial for the success of CO2 injection and long-term storage. Machine learning (ML) is well-suited for real-time CO2 monitor…

EFWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties

Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks

$E^{FWI}$ : Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties