Most Cited Publications

Noninvasive fracture characterization based on the classification of sonic wave travel times

Machine Learning for Subsurface Characterization

Interfacial polarization of disseminated conductive minerals in absence of redox-active species — Part 1: Mechanistic model and validation

When Petrophysics Meets Big Data: What can Machine Do?

Prediction of Subsurface NMR T2 Distributions in a Shale Petroleum System Using Variational Autoencoder-Based Neural Networks

Machine learning assisted segmentation of scanning electron microscopy images of organic-rich shales with feature extraction and feature ranking

Interfacial polarization of disseminated conductive minerals in absence of redox-active species — Part 2: Effective electrical conductivity and dielectric permittivity

Long Short-Term Memory and Variational Autoencoder With Convolutional Neural Networks for Generating NMR T2 Distributions

Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints

Data-Driven In-Situ Geomechanical Characterization in Shale Reservoirs

Intelligent Image Segmentation for Organic-Rich Shales Using Random Forest, Wavelet Transform, and Hessian Matrix

Prediction of subsurface NMR T2 distribution from formation-mineral composition using variational autoencoder

Unsupervised outlier detection techniques for well logs and geophysical data

Joint petrophysical inversion of multifrequency conductivity and permittivity logs derived from subsurface galvanic, induction, propagation, and dielectric dispersion measurements