An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data-Reference-Cited by-同舟云学术

An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data

Published:2022 Issue: Volume:60 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chai Xintao¹^ORCID,Nie Wenhui¹,Lin Kai¹,Tang Genyang²^ORCID,Yang Taihui¹,Yu Junyong¹,Cao Wenjun³

Affiliation:

1. OpenGEO Group, Consortium for Seismic Data Processing and Imaging (CSDPI), Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences (Wuhan), Wuhan, China

2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China

3. Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, China

Funder

National Natural Science Foundation of China Program

Foundation of the State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing

Opening Fund of Key Laboratory of Deep Oil and Gas

Hubei Subsurface Multi-scale Imaging Key Laboratory (China University of Geosciences) Program

National Students’ Innovation and Entrepreneurship Training Program

Fundamental Research Funds for the Central Universities

China University of Geosciences (Wuhan) Postgraduate Joint-Training Practice Base Construction Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09686703.pdf?arnumber=9686703

Reference49 articles.

1. A comparison of classification techniques for seismic facies recognition

2. Facies Identification Based on Multikernel Relevance Vector Machine

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

4. Automatic Carbonate Rock Facies Identification with Deep Learning

5. Binary segmentation of seismic facies using encoder-decoder neural networks;lima;arXiv 2012 03675,2020

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