Search Results for author: Shihang Feng

Found 11 papers, 2 papers with code

Overview of Physics-Informed Machine Learning Inversion of Geophysical Data

no code implementations12 Oct 2023 Gerard T. Schuster, Shihang Feng

The unifying equation is given by the joint objective function $\epsilon$: \begin{eqnarray} \epsilon^{||-PIML}&=&\lambda_1 \overbrace{||{\bf W}^{ML}({\bf H}_{{\bf w}} {\bf d}^{obs}-{\bf m})||^2}^{NN} + \lambda_2 \overbrace{{||{\bf W}^{FWI}({\bf L} {\bf m}-{\bf d}^{obs})||^2}}^{FWI} ~+ \nonumber\\ \nonumber\\ && + ~~Regularizer, \label{PIML. eq120} \end{eqnarray}where the optimal model ${\bf m}^*$ and weights $\bf w^*$ minimize $\epsilon$.

Physics-informed machine learning

Does Full Waveform Inversion Benefit from Big Data?

no code implementations28 Jul 2023 Peng Jin, Yinan Feng, Shihang Feng, Hanchen Wang, Yinpeng Chen, Benjamin Consolvo, Zicheng Liu, Youzuo Lin

This paper investigates the impact of big data on deep learning models for full waveform inversion (FWI).

HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation

no code implementations14 Jun 2023 Shengyu Chen, Shihang Feng, Yao Huang, Zhou Lei, Xiaowei Jia, Youzuo Lin, Estaben Rougier

Hybrid Optimization Software Suite (HOSS), which is a combined finite-discrete element method (FDEM), is one of the advanced approaches to simulating high-fidelity fracture and fragmentation processes but the application of pure HOSS simulation is computationally expensive.

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness

1 code implementation26 May 2023 Min Zhu, Shihang Feng, Youzuo Lin, Lu Lu

Here, we develop a Fourier-enhanced deep operator network (Fourier-DeepONet) for FWI with the generalization of seismic sources, including the frequencies and locations of sources.

Computational Efficiency

Simplifying Full Waveform Inversion via Domain-Independent Self-Supervised Learning

no code implementations27 Apr 2023 Yinan Feng, Yinpeng Chen, Peng Jin, Shihang Feng, Zicheng Liu, Youzuo Lin

Geophysics has witnessed success in applying deep learning to one of its core problems: full waveform inversion (FWI) to predict subsurface velocity maps from seismic data.

Geophysics Image-to-Image Translation +1

An Intriguing Property of Geophysics Inversion

no code implementations28 Apr 2022 Yinan Feng, Yinpeng Chen, Shihang Feng, Peng Jin, Zicheng Liu, Youzuo Lin

In particular, when dealing with the inversion from seismic data to subsurface velocity governed by a wave equation, the integral results of velocity with Gaussian kernels are linearly correlated to the integral of seismic data with sine kernels.

Geophysics

Extremely Weak Supervision Inversion of Multi-physical Properties

no code implementations3 Feb 2022 Shihang Feng, Peng Jin, Xitong Zhang, Yinpeng Chen, David Alumbaugh, Michael Commer, Youzuo Lin

We explore a multi-physics inversion problem from two distinct measurements~(seismic and EM data) to three geophysical properties~(velocity, conductivity, and CO$_2$ saturation).

Geophysics

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

2 code implementations4 Nov 2021 Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin

The recent success of data-driven FWI methods results in a rapidly increasing demand for open datasets to serve the geophysics community.

Benchmarking Geophysics +1

Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs

no code implementations25 May 2021 Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin

Via both numerical and expert evaluation, we conclude that our models can produce high-quality 2D/3D seismic imaging data at a reasonable cost, offering the possibility of real-time monitoring or even near-future forecasting of the CO$_2$ storage reservoir.

Optical Flow Estimation Seismic Imaging

InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion

no code implementations25 Mar 2021 Qili Zeng, Shihang Feng, Brendt Wohlberg, Youzuo Lin

Seismic full-waveform inversion (FWI) techniques aim to find a high-resolution subsurface geophysical model provided with waveform data.

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