Fully Connected U-Net and Its Application on Reconstructing Successively Sampled Seismic Data-Reference-Cited by-同舟云学术

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Fully Connected U-Net and Its Application on Reconstructing Successively Sampled Seismic Data

Published:2023 Issue: Volume:11 Page:99693-99704
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Shengjun¹^ORCID,Gao Jianhu¹^ORCID,Gui Jinyong¹,Wu Lukun²,Liu Naihao³^ORCID,He Dongyang¹,Guo Xin¹

Affiliation:

1. PetroChina Research Institute of Petroleum Exploration and Development, Northwest, China National Petroleum Corporation (CNPC), Lanzhou, China

2. School of Software Engineering, Xi’an Jiaotong University, Xi’an, China

3. School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China

Funder

Prospective, Basic, and Strategic Technology Research Project of PetroChina

Science and Technology Project of PetroChina

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10110973.pdf?arnumber=10110973

Reference58 articles.

1. Seismic fault attribute estimation using a local fault model

2. Rectified linear units improve restricted Boltzmann machines;nair;Proc ICML,2010

3. Seismic Coherence for Discontinuity Interpretation

4. Reconstruction of irregular missing seismic data using conditional generative adversarial networks

5. Seismic attribute selection for machine-learning-based facies analysis

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1. Near offset reconstruction for marine seismic data using a convolutional neural network;Geophysical Prospecting;2024-03-22

2. Deep-Learning-Based Seismic-Signal P-Wave First-Arrival Picking Detection Using Spectrogram Images;Electronics;2024-01-04

3. Automatic Identification of Strong Energy Noise in Seismic Data Based on U-Net;IEEE Transactions on Geoscience and Remote Sensing;2023

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