SOTAVerified

Seismic Imaging

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–44 of 44 papers

TitleStatusHype
Reliable amortized variational inference with physics-based latent distribution correctionCode1
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approachCode1
Learning by example: fast reliability-aware seismic imaging with normalizing flowsCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural NetworksCode1
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
Automatic Differentiation for Adjoint Stencil Loops—0
Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs—0
Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures—0
Demixing Sines and Spikes Using Multiple Measurement Vectors—0
Salt Detection Using Segmentation of Seismic Image—0
Diffusion prior as a direct regularization term for FWI—0
4D Seismic History Matching Incorporating Unsupervised Learning—0
Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology—0
An Analysis of Physics-Informed Neural Networks—0
A novel attention model for salient structure detection in seismic volumes—0
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset—0
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation—0
Probabilistic Joint Recovery Method for CO_2 Plume Monitoring—0
Solving Inverse Wave Scattering with Deep Learning—0
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator—0
Stochastic full waveform inversion with deep generative prior for uncertainty quantification—0
Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging—0
Three-Dimensional Ultrasound Matrix Imaging—0
Toward Creating Subsurface Camera—0
TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads—0
Distortion matrix approach for ultrasound imaging of random scattering media—0
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics—0
Enhancement of seismic imaging: An innovative deep learning approach—0
Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling—0
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data—0
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems—0
IntraSeismic: a coordinate-based learning approach to seismic inversion—0
InvertibleNetworks.jl: A Julia package for scalable normalizing flows—0
Deep-learning inversion: a next generation seismic velocity-model building methodCode0
Acoustic Non-Line-Of-Sight ImagingCode0
Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty QuantificationCode0
Deep Bayesian inference for seismic imaging with tasksCode0
Velocity continuation with Fourier neural operators for accelerated uncertainty quantificationCode0
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated NoiseCode0
Absorption-Constrained Wavelet Power Spectrum Inversion for Robust Q Extraction From VSP DataCode0
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantificationCode0
Data-driven Estimation of Sinusoid FrequenciesCode0
Show:102550

No leaderboard results yet.