Design and application of the standard tag set in the oil and gas pipeline domain

Quan Hui; Bing Liu; Jianchun Fan; Dehua Guo; Xiao Tan; Zeheng Peng

doi:10.1117/12.3051764

18 November 2024 Design and application of the standard tag set in the oil and gas pipeline domain

Quan Hui, Bing Liu, Jianchun Fan, Dehua Guo, Xiao Tan, Zeheng Peng

Author Affiliations +

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 1340331 (2024) https://doi.org/10.1117/12.3051764
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

With the increasing use of digital technology across industries, standardization is undergoing a digital transformation. Machine-readable standards, characterized by their digital and structured nature, support this transformation. Standard tag sets, as specific applications of machine-readable standards, play a crucial role in creating information formats that comply with these standards, thereby improving efficiency in information processing. This study focuses on designing standard tag sets for the oil and gas pipeline domain. Through comprehensive requirements analysis, including overall and personalized needs assessment, we identify and address the challenges in developing, implementing, and maintaining these tag sets. Our research outlines the construction of both general and extended standard tag sets for oil and gas pipelines domain. The general standard tag sets mainly identify the structure of standards and technical indicators defined in standards. The extended standard tag sets achieve unification of technical element data in standards of different type by constructing domain ontology models. By proposing and implementing these standard tag sets, stored in the Neo4j database, we lay a strong foundation for knowledge organization and applications such as building oil and gas pipeline knowledge graphs. In conclusion, the standard tag sets that we put forward and design inject vitality into the digitization of the oil and gas pipeline industry, fostering innovation and development while providing essential support for its long-term progress.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Quan Hui, Bing Liu, Jianchun Fan, Dehua Guo, Xiao Tan, and Zeheng Peng "Design and application of the standard tag set in the oil and gas pipeline domain", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 1340331 (18 November 2024); https://doi.org/10.1117/12.3051764

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Standards development

Industrial applications

Industry

Design

Safety

Telecommunications

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years