BriefGPT.xyz
Dec, 2021
基于深度学习的地质模型放大方法——理论指导的卷积神经网络
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network
HTML
PDF
Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang
TL;DR
本论文通过使用深度学习的卷积神经网络方法,提高了地质模型上扩展方法的效率,实现了更快速的细尺度到粗尺度的转换。
Abstract
Large-scale or high-resolution
geologic models
usually comprise a huge number of grid blocks, which can be computationally demanding and time-consuming to solve with numerical simulators. Therefore, it is advantageous to upscale
→