Frequency-Dependent AVO Inversion and Application on Tight Sandstone Gas Reservoir Prediction Using Deep Neural Network-Reference-Cited by-同舟云学术

Frequency-Dependent AVO Inversion and Application on Tight Sandstone Gas Reservoir Prediction Using Deep Neural Network

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Tian Yajun¹^ORCID,Stovas Alexey²^ORCID,Gao Jinghuai¹^ORCID,Meng Chuangji¹^ORCID,Yang Chun²

Affiliation:

1. School of Information and Communications Engineering and the National Engineering Research Center of Offshore Oil and Gas Exploration, Xi’an Jiaotong University, Xi’an, China

2. Department of Geoscience and Petroleum, Norwegian University of Science and Technology, Trondheim, Norway

Funder

China National Postdoctoral Program for Innovative Talents

Postdoctoral Research Project of Shaanxi Province

National Key Research and Development Program of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10298245.pdf?arnumber=10298245

Reference42 articles.

1. Progress in China’s unconventional oil & gas exploration and development and theoretical technologies;Zou;Acta. Geol. Sin.,2015

2. Application of seismic rock physics and forward simulation in predicting tight sandstone reservoirs;Li;J. Oil Gas Technol.,2008

3. Seismic prediction for sweet spot reservoir of tight oil;Zhu;J. Jilin Univ.,2015

4. An Improved Scheme of Frequency-Dependent AVO Inversion Method and Its Application for Tight Gas Reservoirs

5. The influence of abnormally high reservoir attenuation on the AVO signature

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