Dec 23, 2021 · In this paper, we propose an MC-GAN-BiLSTM model based on spatiotemporal sequence prediction. In the model, we adopt a generative adversarial ...
Jan 6, 2022 · In the model, we adopt a generative adversarial network (GAN) as a network framework, and a long short-term memory (LSTM) neural network and a ...
Duration: 0:35
Posted: Dec 26, 2022
Posted: Dec 26, 2022
Dec 9, 2021 · In this paper, we propose a GAN-LSTM model based on spatiotemporal sequence prediction. In the model, we adopt a generative adversarial network ...
Missing: MC- BiLSTM
Sep 2, 2024 · In this paper, a cascaded bidirectional long short-term memory network with residual attention is proposed to reconstruct well logs.
This method strengthens the temporal and spatial information of log sequences separately through MC and LSTM and leverages the advantages of GAN in learning ...
A method for well log data generation based on a spatio-temporal neural network ... Logging Data Completion Based on an MC-GAN-BiLSTM Model · Liang GuoLuo Renze ...
Jul 8, 2024 · This method strengthens the temporal and spatial information of log sequences separately through MC and LSTM and leverages the advantages of GAN ...
FlexLogNet: A flexible deep learning-based well-log completion method of adaptively using what you have to predict what you are missing.
Oct 22, 2024 · This study tries to generate a novel and improved BiLSTM network (DBI-BiLSTM) based on a deep belief network (DBN), bidirectional propagation technique, and a ...