Direct estimation of porosity from seismic data using rock- and wave-physics-informed neural networks

Petrophysical inversion based on f-s-r amplitude-variation-with-offset linearization and canonical correlation analysis

Digital transformation in rock physics: Deep learning and data fusion

Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples

Brown and Korringa’s expression for the saturated bulk modulus at high frequencies: Modification of Mavko and Jizba’s squirt flow model

Consistency and prior falsification of training data in seismic deep learning: Application to offshore deltaic reservoir characterization

Petrophysical properties prediction from prestack seismic data using convolutional neural networks

Approximate Bayesian inference of seismic velocity and pore-pressure uncertainty with basin modeling, rock physics, and imaging constraints

Lithofacies-dependent rock-physics templates of an unconventional shale reservoir on the North Slope, Alaska

Introduction to special section: Rock properties from AVA/AVO analysis

Convolutional neural network for seismic impedance inversion

Static and dynamic effective moduli of elastic-perfectly plastic granular aggregates under normal compression

Prestack and poststack inversion using a physics-guided convolutional neural network

Numerical simulation of coupled fluid-solid interaction at the pore scale: A digital rock-physics technology

Particula: A simulator tool for computational rock physics of granular media

Scale effects of velocity dispersion and attenuation ( Q −1 ) in layered viscoelastic medium

Correlating geologic and seismic data with unconventional resource production curves using machine learning

Integrating statistical rock physics and pressure and thermal history modeling to map reservoir lithofacies in the deepwater Gulf of Mexico

Combining seismic reservoir characterization workflows with basin modeling in the deepwater Gulf of Mexico Mississippi Canyon area

On microscale heterogeneity in granular media and its impact on elastic property estimation