Geophysics

16 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks

ybabakhin/kaggle_salt_bes_phalanx 9 Apr 2019

Seismic image analysis plays a crucial role in a wide range of industrial applications and has been receiving significant attention.

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

lanl/openfwi 4 Nov 2021

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

70 years of machine learning in geoscience in review

JesperDramsch/70-Years-of-Machine-Learning-in-Geoscience-in-Review 16 Jun 2020

I explore the shift of kriging towards a mainstream machine learning method and the historic application of neural networks in geoscience, following the general trend of machine learning enthusiasm through the decades.

A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design

zyz293/GAN-MDN 26 Jan 2021

Microstructural materials design is one of the most important applications of inverse modeling in materials science.

Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNet

zxleong/GPRNet Journal of Geophysical Research: Solid Earth 2021

We simulate numerous GPR data from a range of pseudo‐random velocity models and feed the datasets into GPRNet for training.

Data-driven modeling of time-domain induced polarization

clberube/ip-vae 30 Jul 2021

We present a novel approach for data-driven modeling of the time-domain induced polarization (IP) phenomenon using variational autoencoders (VAE).

Viskositas: Viscosity Prediction of Multicomponent Chemical Systems

patrick21081995/VISKOSITAS 2 Aug 2022

Viscosity in the metallurgical and glass industry plays a fundamental role in its production processes, also in the area of geophysics.

Learned multiphysics inversion with differentiable programming and machine learning

slimgroup/jutuldarcyrules.jl 12 Apr 2023

We present the Seismic Laboratory for Imaging and Modeling/Monitoring (SLIM) open-source software framework for computational geophysics and, more generally, inverse problems involving the wave-equation (e. g., seismic and medical ultrasound), regularization with learned priors, and learned neural surrogates for multiphase flow simulations.

Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling

mengchuangji/VI-Non-IID IEEE Transactions on Geoscience and Remote Sensing 2023

Thus, our proposed framework called VI-Non-IID inclines to have better noise characterization and generalization capabilities, which brings better performance on seismic field NA.

Attenuation of Seismic Random Noise With Unknown Distribution: A Gaussianization Framework

mengchuangji/SRNGF IEEE Transactions on Geoscience and Remote Sensing 2023

The Gaussianization submodule with learnable parameters maps seismic data with the noise of unknown distribution to the one corrupted by Gaussian noise.