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Seismic Imaging

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Showing 1–44 of 44 papers

TitleStatusHype
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring ImagesCode1
De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detectionCode1
Reliable amortized variational inference with physics-based latent distribution correctionCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
Learning by example: fast reliability-aware seismic imaging with normalizing flowsCode1
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approachCode1
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural NetworksCode1
Diffusion prior as a direct regularization term for FWI—0
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems—0
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated NoiseCode0
Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures—0
Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging—0
Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology—0
Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling—0
Probabilistic Joint Recovery Method for CO_2 Plume Monitoring—0
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset—0
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data—0
Stochastic full waveform inversion with deep generative prior for uncertainty quantification—0
Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty QuantificationCode0
InvertibleNetworks.jl: A Julia package for scalable normalizing flows—0
IntraSeismic: a coordinate-based learning approach to seismic inversion—0
Absorption-Constrained Wavelet Power Spectrum Inversion for Robust Q Extraction From VSP DataCode0
Three-Dimensional Ultrasound Matrix Imaging—0
An Analysis of Physics-Informed Neural Networks—0
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator—0
TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads—0
Velocity continuation with Fourier neural operators for accelerated uncertainty quantificationCode0
Salt Detection Using Segmentation of Seismic Image—0
A novel attention model for salient structure detection in seismic volumes—0
Deep Bayesian inference for seismic imaging with tasksCode0
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation—0
Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs—0
Distortion matrix approach for ultrasound imaging of random scattering media—0
Demixing Sines and Spikes Using Multiple Measurement Vectors—0
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantificationCode0
Solving Inverse Wave Scattering with Deep Learning—0
Enhancement of seismic imaging: An innovative deep learning approach—0
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics—0
Automatic Differentiation for Adjoint Stencil Loops—0
Data-driven Estimation of Sinusoid FrequenciesCode0
Acoustic Non-Line-Of-Sight ImagingCode0
4D Seismic History Matching Incorporating Unsupervised Learning—0
Deep-learning inversion: a next generation seismic velocity-model building methodCode0
Toward Creating Subsurface Camera—0
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