Accelerating geostatistical modeling using geostatistics-informed machine Learning

Digital Rock Segmentation for Petrophysical Analysis With Reduced User Bias Using Convolutional Neural Networks

(2020) Yufu Niu et al.   WATER RESOURCES RESEARCH

Machine Learning in Geo- and Environmental Sciences: From Small to Large Scale

(2020) Pejman Tahmasebi et al.   ADVANCES IN WATER RESOURCES

Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder

(2020) Mingliang Liu et al.   ADVANCES IN WATER RESOURCES

Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks

(2020) Mingliang Liu et al.   GEOPHYSICS

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

(2020) Meng Tang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Efficient and data-driven prediction of water breakthrough in subsurface systems using deep long short-term memory machine learning

(2020) Tao Bai et al.   COMPUTATIONAL GEOSCIENCES

Deep-learning-based surrogate model for reservoir simulation with time-varying well controls

(2020) Zhaoyang Larry Jin et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Image-based velocity estimation of rock using Convolutional Neural Networks

(2019) Sadegh Karimpouli et al.   NEURAL NETWORKS

Segmentation of digital rock images using deep convolutional autoencoder networks

(2019) Sadegh Karimpouli et al.   COMPUTERS & GEOSCIENCES

Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm

(2019) Serveh Kamrava et al.   NEURAL NETWORKS

Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning

(2019) Ying Da Wang et al.   WATER RESOURCES RESEARCH

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Using general-purpose computing on graphics processing units (GPGPU) to accelerate the ordinary kriging algorithm

(2013) E. Gutiérrez de Ravé et al.   COMPUTERS & GEOSCIENCES

Accelerating geostatistical simulations using graphics processing units (GPU)

(2012) Pejman Tahmasebi et al.   COMPUTERS & GEOSCIENCES

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Continuity for Kriging with Moving Neighborhood

(2011) Jacques Rivoirard et al.   Mathematical Geosciences

Fixed rank kriging for very large spatial data sets

(2010) Noel Cressie et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

An adaptive inverse-distance weighting spatial interpolation technique

(2008) George Y. Lu et al.   COMPUTERS & GEOSCIENCES

Gaussian predictive process models for large spatial data sets

(2008) Sudipto Banerjee et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY