Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms

18 February 2019

Papers citing "Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms"

6 / 6 papers shown

Title
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward Model C. Etienam Juntao Yang O. Ovcharenko Issam Said 32 1 0 02 Jun 2024
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents E. Gurina Nikita Klyuchnikov Ksenia Antipova D. Koroteev FAtt 25 8 0 06 Sep 2022
Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation I. Makhotin D. Orlov D. Koroteev Evgeny Burnaev A. Karapetyan D. Antonenko 22 21 0 07 Oct 2020
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media Ying Da Wang Traiwit Chung R. Armstrong P. Mostaghimi AI4CE 28 18 0 22 Apr 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 19 19 0 13 Feb 2020
A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data E. Kanin A. Osiptsov A. Vainshtein Evgeny Burnaev AI4CE 26 67 0 23 May 2019