Recognizing societal influences in earthquake geohazard risk perception with explainable AI while mitigating risks through improved seismic interpretation

Shale brittleness prediction using machine learning—A Middle East basin case study

Enhancing one-way wave equation-based migration with deep learning

EPM–DCNN: Earthquake Prediction Models Using Deep Convolutional Neural Networks

A roadmap to accelerate OSDU adoption

High-resolution imaging of subsurface infrastructure using deep learning artificial intelligence on drone magnetometry

A comprehensive study of calibration and uncertainty quantification for Bayesian convolutional neural networks — An application to seismic data

Deep learning-based point-spread function deconvolution for migration image deblurring

3D fault detection: Using human reasoning to improve performance of convolutional neural networks

LPPN: A Lightweight Network for Fast Phase Picking

Olivine in picrites from continental flood basalt provinces classified using machine learning

Synthetic seismic data generation for automated AI-based procedures with an example application to high-resolution interpretation

MALMI: An Automated Earthquake Detection and Location Workflow Based on Machine Learning and Waveform Migration

Classifying Worldwide Standardized Seismograph Network Records Using a Simple Convolution Neural Network

Automated fault detection in the Arabian Basin

Delineating the Controlling Factors of Hydraulic Fracturing‐Induced Seismicity in the Northern Montney Play, Northeastern British Columbia, Canada, With Machine Learning

Reflection residual statics estimated using a high-resolution neural network

Data‐Driven Synthesis of Broadband Earthquake Ground Motions Using Artificial Intelligence

Deep‐Neural‐Network‐Based Estimation of Site Amplification Factor from Microtremor H/V Spectral Ratio

Automatically Extracting Surface‐Wave Group and Phase Velocity Dispersion Curves from Dispersion Spectrograms Using a Convolutional Neural Network