Application of gated recurrent unit (GRU) neural network for smart batch production prediction

X Li, X Ma, F Xiao, F Wang, S Zhang - Energies, 2020 - mdpi.com
Production prediction plays an important role in decision making, development planning,
and economic evaluation during the exploration and development period. However …

Uncertainty quantification of channel reservoirs assisted by cluster analysis and deep convolutional generative adversarial networks

B Kang, J Choe - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Reservoir characterization is to find reservoir properties of interest by combining available
geological information. In channel reservoirs, flow responses are very sensitive depending …

Permeability estimation on raw micro-CT of carbonate rock samples using deep learning

CEM dos Anjos, TF de Matos, MRV Avila… - Geoenergy Science and …, 2023 - Elsevier
Petrophysical characterization of carbonate reservoirs remains a challenge. The widespread
use of X-ray computed microtomography (micro-CT) images in the classical reservoir …

Production Forecasting Based on Attribute-Augmented Spatiotemporal Graph Convolutional Network for a Typical Carbonate Reservoir in the Middle East

M Gao, C Wei, X Zhao, R Huang, J Yang, B Li - Energies, 2022 - mdpi.com
Production forecasting plays an important role in development plans during the entire period
of petroleum exploration and development. Artificial intelligence has been extensively …

MPs realization selection with an innovative LSTM tool

A Azamifard, M Ahmadi, F Rashidi, M Pourfard… - Journal of Applied …, 2020 - Elsevier
Multiple point statistics (MPS) methods are good tools to recreate the spatial heterogeneity
of permeability in porous media. On the other hand, a reliable forecast of reservoir …

QuiltEdge: Novel geostatistical workflow for heterogeneous reservoirs with an innovative combination of multi-variable image quilting and edge property concept to …

A Azamifard, M Ahmadi, F Rashidi, M Pourfard… - Journal of Petroleum …, 2020 - Elsevier
Detailed and accurate techniques which plays a vital role in providing more reliable
predictions of reservoir performance are needed for spatial modeling of reservoirs with …

Insights of new-generation reservoir property modeling (MPS methods) in assessing the reservoir performance for different recovery methods

A Azamifard, M Ahmadi, F Rashidi, M Pourfard… - Arabian Journal of …, 2020 - Springer
Usage of an advanced geostatistical method for reservoir characterization results in more
reliable insights of reservoir performance. Multiple-point statistic (MPS) methods which …

[PDF][PDF] Exploring the RCNN technique in a multiple-point statistics framework

S Avalos, JM Ortiz - 2019 - qspace.library.queensu.ca
This work explores the Recursive Convolutional Neural Network (RCNN) technique in terms
of describing (1) the inner architecture,(2) the training process and (3) the simulation …

[引用][C] A new approach to permeability prediction of reservoir from rock elastic properties using machine learning

ZA Riyadi - 2022