Driving Digital Rock towards Machine Learning: predicting permeability
with Gradient Boosting and Deep Neural Networks

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Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks

2 March 2018

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Papers citing "Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks"

14 / 14 papers shown

Title
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data Huawei Lin Jun Woo Chung Yingjie Lao Weijie Zhao 75 0 0 03 Feb 2025
Estimating relative diffusion from 3D micro-CT images using CNNs Stephan Gärttner F. Frank Fabian Woller Andreas Meier N. Ray MedIm DiffM 20 5 0 04 Aug 2022
Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS Stephan Gärttner F. Alpak Andreas Meier N. Ray F. Frank 47 17 0 04 Sep 2021
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph Chen Cai Nikolaos N. Vlassis Lucas Magee R. Ma Zeyu Xiong B. Bahmani T. Wong Yusu Wang WaiChing Sun 53 16 0 12 Apr 2021
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data B. Bahmani WaiChing Sun AI4CE 47 30 0 30 Nov 2020
Deep learning for lithological classification of carbonate rock micro-CT images Carlos E. M. dos Anjos M. R. V. Avila Adna G. P. Vasconcelos Aurea M. Pereira Neta L. Medeiros Alexandre Evsukoff R. Surmas 13 38 0 30 Jul 2020
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media Ying Da Wang Traiwit Chung R. Armstrong P. Mostaghimi AI4CE 50 18 0 22 Apr 2020
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world I. Fursov Alexey Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 46 11 0 09 Mar 2020
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images Ying Da Wang Mehdi Shabaninejad R. Armstrong P. Mostaghimi 3DV 34 19 0 13 Feb 2020
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks V. Puzyrev A. Swidinsky 13 58 0 02 Dec 2019
Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case Study O. Sudakov D. Koroteev B. Belozerov Evgeny Burnaev 26 9 0 20 May 2019
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing I. Makhotin D. Koroteev Evgeny Burnaev AI4CE 129 26 0 05 Feb 2019
Reconstruction of 3D Porous Media From 2D Slices Denis Volkhonskiy E. Muravleva O. Sudakov D. Orlov B. Belozerov Evgeny Burnaev D. Koroteev AI4CE 34 12 0 29 Jan 2019
Machine learning for accelerating effective property prediction for poroelasticity problem in stochastic media M. Vasilyeva A. Tyrylgin AI4CE 30 7 0 03 Oct 2018