Research on Prediction of Movable Fluid Percentage in Unconventional Reservoir Based on Deep Learning

Research on Prediction of Movable Fluid Percentage in Unconventional Reservoir Based on Deep Learning

In order to improve the measurement speed and prediction accuracy of unconventional reservoir parameters, the deep neural network (DNN) is used to predict movable fluid percentage of unconventional reservoirs. The Adam optimizer is used in the DNN model to ensure the stability and accuracy of the mo...

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Bibliographic Details
Main Authors: Jiuxin Wang, Yutian Luo, Zhengming Yang, Xinli Zhao, Zhongkun Niu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
deep learning
NMR T<sub>2</sub> spectrum
movable fluid percentage
deep neural network
unconventional reservoir
Online Access:https://www.mdpi.com/2076-3417/11/8/3589

Internet

https://www.mdpi.com/2076-3417/11/8/3589

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