Reservoir Stochastic Simulation Based on Octave Convolution and Multistage Generative Adversarial Network

Reservoir Stochastic Simulation Based on Octave Convolution and Multistage Generative Adversarial Network

Abstract For finely representation of complex reservoir units, higher computing overburden and lower spatial resolution are limited to traditional stochastic simulation. Therefore, based on Generative Adversarial Networks (GANs), spatial distribution patterns of regional variables can be reproduced...

Full description

Saved in:
Bibliographic Details
Main Authors: Xuechao Wu, Wenyao Fan, Shijie Peng, Bing Qin, Qing Wang, Mingjie Li, Yang Li
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Reservoir units
Generative adversarial networks
Octave convolution
Joint loss function
Multi-scale spatial representation
Online Access:https://doi.org/10.1038/s41598-024-80317-1
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-80317-1

Similar Items