Bi-LSTM Deep Neural Network Reservoir Classification Model Based on the Innovative Input of Logging Curve Response Sequences

Bi-LSTM Deep Neural Network Reservoir Classification Model Based on the Innovative Input of Logging Curve Response Sequences

Reservoir classification is an important component of reservoir geological modelling and reservoir evaluation and identification. Using a single conventional logging curve to identify complex heterogeneous reservoir types has always been a difficult task in logging interpretation. For the first time...

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Bibliographic Details
Main Authors: Zhou Xueqing, Zhang Zhansong, Zhang Chaomo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bi-LSTM
logging curve response sequences
deep neural network
reservoir classification
Online Access:https://ieeexplore.ieee.org/document/9334396/

Internet

https://ieeexplore.ieee.org/document/9334396/

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