Prediction of Carbonate Reservoir Porosity Based on CNN-BiLSTM-Transformer

Carbonate reservoirs are widely distributed and have great exploration potential. As a key indicator for reservoir characterization and evaluation, accurate and efficient porosity prediction is crucial for the exploration and development of oil and gas in carbonate reservoirs. To address the issues...

Full description

Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Yingqiang Qi, Shuiliang Luo, Song Tang, Jifu Ruan, Da Gao, Qianqian Liu, Sheng Li
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	convolutional neural network (CNN) long short-term neural network (LSTM) Transformer neural network carbonate reservoir porosity prediction
Online Access:	https://www.mdpi.com/2076-3417/15/7/3443