Deep Relative Geologic Time: A Deep Learning Method for Simultaneously Interpreting 3‐D Seismic Horizons and Faults-Reference-Cited by-同舟云学术

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Deep Relative Geologic Time: A Deep Learning Method for Simultaneously Interpreting 3‐D Seismic Horizons and Faults

Published:2021-09 Issue:9 Volume:126 Page:
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:J Geophys Res Solid Earth

Author:

Bi Zhengfa¹,Wu Xinming¹^ORCID,Geng Zhicheng²^ORCID,Li Haishan³

Affiliation:

1. School of Earth and Space Sciences University of Science and Technology of China Hefei China

2. Bureau of Economic Geology, University of Texas at Austin Austin TX USA

3. Research Institute of Petroleum Exploration and Development‐Northwest (NWGI) Lanzhou China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JB021882

Reference85 articles.

1. 3D volumetric multispectral estimates of reflector curvature and rotation

2. Voronoi‐based variational reconstruction of unoriented point sets;Alliez P.;Symposium on Geometry Processing,2007

3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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