Automatic identification of rock formation interface based on borehole imaging-Reference-Cited by-同舟云学术

Automatic identification of rock formation interface based on borehole imaging

Published:2021-03-26 Issue: Volume: Page:1-13
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Liu Cancan¹,Zheng Xigui¹,Yang Lu²,Li Peng¹,Shahani Niaz Muhammad¹^ORCID,Wang Cong¹,Guo Xiaowei¹

Affiliation:

1. Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China; School of Mines; China University of Mining & Technology, Xuzhou, China

2. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou China

Funder

Special Project of Subject Frontiers Scientific Research in China University of Mining and Technology

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.1903121

Reference23 articles.

1. Automated detection of planar geologic features in borehole images

2. Generating panoramic unfolded image from borehole video acquired through APBT