no code implementations • 6 Jan 2024 • Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang
Full-waveform inversion (FWI) plays a vital role in geoscience to explore the subsurface.
no code implementations • 19 Oct 2023 • Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin
We term this phenomenon hidden waves, as it reveals that, although the speeds of the set of wave equations and autoregressive coefficient matrices are latent, they are both learnable and shared across images.
no code implementations • 14 Oct 2023 • Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang, Youzuo Lin
Seismic full waveform inversion (FWI) is a widely used technique in geophysics for inferring subsurface structures from seismic data.
no code implementations • 30 Aug 2023 • Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa
Once trained, the CNN can perform real-time FWI image reconstruction from USCT waveform data.
no code implementations • 28 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 to help solve the full waveform inversion (FWI) problem.
no code implementations • 21 Jun 2023 • Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
We conduct comprehensive numerical experiments to explore the relationship between P-wave and S-wave velocities in seismic data.
no code implementations • 14 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.
1 code implementation • 26 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.
no code implementations • 25 May 2023 • Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin
This paper introduces a novel mathematical property applicable to diverse images, referred to as FINOLA (First-Order Norm+Linear Autoregressive).
no code implementations • 27 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.
no code implementations • 8 Dec 2022 • Yanhua Liu, Xitong Zhang, Ilya Tsvankin, Youzuo Lin
The method remains robust even if the testing data are distorted due to problems in the field data acquisition.
no code implementations • 23 Nov 2022 • Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin
When transferring to object detection with frozen backbone, QB-Heat outperforms MoCo-v2 and supervised pre-training on ImageNet by 7. 9 and 4. 5 AP respectively.
no code implementations • 25 Sep 2022 • Bian Li, Hanchen Wang, Xiu Yang, Youzuo Lin
Previous works that concentrate on solving the wave equation by neural networks consider either a single velocity model or multiple simple velocity models, which is restricted in practice.
no code implementations • 4 Jul 2022 • Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang
Model compression, such as pruning and quantization, has been widely applied to optimize neural networks on resource-limited classical devices.
no code implementations • 28 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.
no code implementations • 3 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).
no code implementations • 28 Nov 2021 • Chengyuan Deng, Youzuo Lin
For robustness, we prove the upper bounds of the deviation between the predictions from clean and noisy data.
2 code implementations • 4 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.
no code implementations • ICLR 2022 • Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin
In particular, we use finite difference to approximate the forward modeling of PDE as a differentiable operator (from velocity map to seismic data) and model its inversion by CNN (from seismic data to velocity map).
no code implementations • 22 Jun 2021 • Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin
To validate the effectiveness of our data augmentation techniques, we apply them to solve a subsurface seismic full-waveform inversion using simulated CO$_2$ leakage data.
no code implementations • 25 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.
no code implementations • 25 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.
no code implementations • 3 Sep 2020 • Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg
Seismic full-waveform inversion (FWI) is a nonlinear computational imaging technique that can provide detailed estimates of subsurface geophysical properties.
1 code implementation • 10 Nov 2019 • Tiantong Wang, Daniel Trugman, Youzuo Lin
However, the accuracy of those methods relies on a sufficient amount of high-quality training data, which itself can be expensive to obtain due to the requirement of domain knowledge and subject matter expertise.
no code implementations • 30 Oct 2018 • Panfeng Li, Youzuo Lin, Emily Schultz-Fellenz
Semantic segmentation for aerial imagery is a challenging and important problem in remotely sensed imagery analysis.
1 code implementation • 26 Sep 2018 • Zhongping Zhang, Yue Wu, Zheng Zhou, Youzuo Lin
Acoustic- and elastic-waveform inversion is an important and widely used method to reconstruct subsurface velocity image.
no code implementations • 17 Jan 2018 • Yue Wu, Youzuo Lin, Zheng Zhou, Andrew Delorey
In particular, we demonstrate the efficacy of our Seismic-Net by formulating our detection problem as an event detection problem with time series data.
no code implementations • 11 Oct 2017 • Youzuo Lin, Shusen Wang, Jayaraman Thiagarajan, George Guthrie, David Coblentz
We employ a data reduction technique in combination with the conventional kernel ridge regression method to improve the computational efficiency and reduce memory usage.
no code implementations • 12 Sep 2017 • Yue Wu, Youzuo Lin, Zheng Zhou, David Chas Bolton, Ji Liu, Paul Johnson
Because of the fact that some positive events are not correctly annotated, we further formulate the detection problem as a learning-from-noise problem.