Diffraction traveltime approximation for TI media with an inhomogeneous background
Two-point paraxial traveltime formula for inhomogeneous isotropic and anisotropic media: Tests of accuracy
A comparison of high-order explicit Runge-Kutta, extrapolation, and deferred correction methods in serial and parallel
Effective orthorhombic anisotropic models for wavefield extrapolation
DOI: 10.1093/gji/ggu229
An iterative, fast-sweeping-based eikonal solver for 3D tilted anisotropic media
Efficient traveltime solutions of the acoustic TI eikonal equation
An efficient wave extrapolation method for anisotropic media with tilt
Effective ellipsoidal models for wavefield extrapolation in tilted orthorhombic media
First-arrival traveltime tomography for anisotropic media using the adjoint-state method
Anisotropy parameter inversion in vertical axis of symmetry media using diffractions
A fast sweeping algorithm for accurate solution of the tilted transversely isotropic eikonal equation using factorization
P-wave complex-valued traveltimes in homogeneous attenuating transversely isotropic media
Normal faulting activated by hydraulic fracturing: A case study from the Barnett Shale, Fort Worth Basin
Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands
A fast-marching eikonal solver for tilted transversely isotropic media
Detection, location, and source mechanism determination with large noise variations in surface microseismic monitoring
Pure P- and S-wave equations in transversely isotropic media
NodePy: A package for the analysis of numerical ODE solvers
DOI: 10.21105/joss.02515
Microseismic location error due to eikonal traveltime calculation
DOI: 10.3390/app11030982
Deep learning driven noise reduction for reduced flux computed tomography
DOI: 10.3390/s21051921
Deep learning for low-magnitude earthquake detection on a multi-level sensor network
PINNtomo: Seismic tomography using physics-informed neural networks
Solving the frequency-domain acoustic VTI wave equation using physics-informed neural networks
DOI: 10.1093/gji/ggab010
A holistic approach to computing first-arrival traveltimes using neural networks
Wavefield solutions from machine learned functions
An iterative, factored topography-dependent eikonal solver for anisotropic media
Deep learning applications in geosciences: Insights into ichnological analysis
DOI: 10.3390/app11167736
A Data-Driven Machine Learning Approach to Predict the Natural Gas Density of Pure and Mixed Hydrocarbons
DOI: 10.1115/1.4051259
Dictionary learning with convolutional structure for seismic data denoising and interpolation
PINNeik: Eikonal solution using physics-informed neural networks
Topography-dependent eikonal tomography based on the fast sweeping scheme and the adjoint-state technique
Groningennet: Deep learning for low-magnitude earthquake detection on a multi-level sensor network
DOI: 10.3390/s21238080
Wavefield solutions from machine learned functions constrained by the Helmholtz equation
Automated Event Detection and Denoising Method for Passive Seismic Data Using Residual Deep Convolutional Neural Networks
Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data
Kronecker Neural Networks Overcome Spectral Bias for PINN-Based Wavefield Computation
Upwind, No More: Flexible Traveltime Solutions Using Physics-Informed Neural Networks
A versatile framework to solve the Helmholtz equation using physics-informed neural networks
DOI: 10.1093/gji/ggab434
An ANN model to predict oil recovery from a 5-spot waterflood of a heterogeneous reservoir
Solving the eikonal equation for compressional and shear waves in anisotropic media using peridynamic differential operator
DOI: 10.1093/gji/ggac037
Full-waveform centroid moment tensor inversion of passive seismic data acquired at the reservoir scale
DOI: 10.1093/gji/ggac137
Traveltime-based microseismic event location using artificial neural network
Laplace HypoPINN: physics-informed neural network for hypocenter localization and its predictive uncertainty
Arrival times by Recurrent Neural Network for induced seismic events from a permanent network
Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data
Multi-frequency wavefield modeling of acoustic VTI wave equation using physics informed neural networks
Prediction of Total Organic Carbon in Organic-Rich Shale Rocks Using Thermal Neutron Parameters
A topography-dependent eikonal solver for accurate and efficient computation of traveltimes and their derivatives in 3D heterogeneous media
Machine learning in microseismic monitoring
Will ChatGPT and related AI-tools alter the future of the geosciences and petroleum engineering?
Robust Bayesian moment tensor inversion with optimal transport misfits: layered medium approximations to the 3-D SEG-EAGE overthrust velocity model
DOI: 10.1093/gji/ggad116
Introduction to the special issue on “mineral exploration and mining geophysics”
A neural network based global traveltime function (GlobeNN)
First Break Traveltime Picking Using Unsupervised Machine Learning and Super-Virtual Refraction Interferometry
DOI: 10.1029/2023EA003014
Introduction to special issue on machine learning applications in geophysical exploration and monitoring
Seismic Traveltime Simulation for Variable Velocity Models Using Physics-Informed Fourier Neural Operator
En-DeepONet: An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
Enhanced wave modeling & optimal plane-wave destruction (OPWD) method for diffraction separation and imaging
Automating hyperparameter optimization in geophysics with Optuna: A comparative study
Leveraging automated deep learning (AutoDL) in geosciences
Smoothness: The key factor in well-log information-assisted PINNtomo
Upper limit magnitudes for induced seismicity in energy industries
Stable neural network-based traveltime tomography using hard-constrained measurements
Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects
Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion
Microseismic Source Localization Using Fourier Neural Operator With Application to Field Data From Utah FORGE
Physically Guided Deep Unsupervised Inversion for 1-D Magnetotelluric Models
Seismic anisotropy prediction using ML methods: A case study on an offshore carbonate oilfield
Unsupervised Deep Learning for DAS-VSP Denoising Using Attention-Based Deep Image Prior
Predicting Water Saturation in a Greek Oilfield with the Power of Artificial Neural Networks
Decay of seismic noise at shallow boreholes: Observations from Groningen.
Introduction to this special section: Generative and physics-informed AI
Accelerating the convergence of physics-informed neural networks for seismic wave simulation
Advancing shale geochemistry: Predicting major oxides and trace elements using machine learning in well-log analysis of the Horn River Group shales
Automated identification of sedimentary structures in core images using object detection algorithms
Seismic Monitoring for CO2 Sequestration—A New Advanced Strategy
Simultaneous P- and S-wave seismic traveltime tomography using physics-informed neural networks
S-Wave Velocity Model of Texas Based On Joint Inversion of Interferometry and P-Wave Receiver Functions
Generation and Evaluation of Synthetic Low-Magnitude Earthquake Data Using Auxiliary Classifier GAN
DOI: 10.1029/2024EA004064
Three-Dimensional Seismic Traveltime Simulation Using Physics-Informed Unet Fourier Neural Operator
Constraints on stress tensor from microseismicity at Decatur
Accurate velocity estimation from surface-consistent residual statics
Leveraging stable diffusion to reconstruct missing core intervals
A Generalized Eikonal Solver Using Operator Learning
Physics-Constrained Deep-Learning-Based Full-Waveform Inversion: A Practical Source-Independent Strategy with Two Real Data Applications
Physics-Informed Fourier-DeepONet for a generalized eikonal solution
Effect of data filtering on source mechanisms inverted from surface microseismic monitoring array
A novel deep-learning model to convert DAS strain to geophone particle velocity: application to PoroTomo data from the Brady geothermal field
Fourier Neural Operator for Moonquake Detection
DOI: 10.1029/2025EA004792
GeoFWI: A Large Velocity Model Data Set for Benchmarking Full Waveform Inversion Using Deep Learning
DOI: 10.1029/2025JH001037
Comparative study of optimized rock-physics templates (RPTs) and machine learning (ML) approaches for sweet spot delineation in shale gas reservoir
Seismic Event Classification With a Lightweight Fourier Neural Operator Model
U-PINO: A U-Shaped Physics-Informed Neural Operator for DAS Microseismic Source Localization With Application to FORGE DAS Data
Deep learning with Fourier Neural Operators for sedimentary structure recognition
SeisReconNO: Leveraging a U-Net-Enhanced Fourier neural operator for 3D seismic reconstruction
High-Resolution Imaging of Lithosphere-Asthenosphere Structure in Northeast China Using Eikonal Tomography With Physics-Informed Deep Learning
DOI: 10.1029/2025JB033724
Explainable AI for microseismic event detection
Explainable artificial intelligence using convolutional neural networks for sedimentary structure classification