Construction and application of dynamic risk knowledge graph of large diameter emergency rescue well

Zhe Yang; Hongjun Qi; Bofan Tian

doi:10.1117/12.2655015

28 September 2022 Construction and application of dynamic risk knowledge graph of large diameter emergency rescue well

Zhe Yang, Hongjun Qi, Bofan Tian

Proceedings Volume 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022); 1233922 (2022) https://doi.org/10.1117/12.2655015
Event: Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 2022, Chendu, China

Abstract

The construction of a large-diameter emergency rescue well dynamic risk knowledge map is a strong support for the rapid drilling of large-diameter emergency rescue wells in a big data environment. Aiming at the problem of static mapping of existing drilling knowledge graphs, this paper introduces the time dimension to characterize the dynamic, sudden and time-effective evolution characteristics of the risk events in the drilling process of large-diameter emergency rescue wells. After large-diameter rescue well drilling risk knowledge extraction, knowledge fusion, ontology construction and dynamic knowledge reasoning, etc., the dynamic risk knowledge map of large-diameter emergency rescue wells is systematically constructed from top to bottom. In the process of constructing the knowledge graph, aiming at the imbalanced classification problem of the entity samples of the domain data set, this paper proposes a dynamic knowledge reasoning method and applies the knowledge graph to the intelligent question answering system of large-diameter rescue wells.

Citation Download Citation

Zhe Yang, Hongjun Qi, and Bofan Tian "Construction and application of dynamic risk knowledge graph of large diameter emergency rescue well", Proc. SPIE 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 1233922 (28 September 2022); https://doi.org/10.1117/12.2655015

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