Big data analysis research and application in the field of oil and gas resources management

Shujun Huang; Dalei Fan; Wei Xiong; Ziyu Zhang

doi:10.1117/12.2671315

21 March 2023 Big data analysis research and application in the field of oil and gas resources management

Shujun Huang, Dalei Fan, Wei Xiong, Ziyu Zhang

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 1260921 (2023) https://doi.org/10.1117/12.2671315
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

Through the big data analysis platform and research methods, this paper studies the oil and gas resources management, mineral rights and reserve management based on the big data analysis research of Strategic Research Center of Oil and Gas Resources, Ministry of Natural Resources. The research uncovers the connections that are difficult to show in traditional technology, and assists business personnel to further improve the effectiveness and efficiency of petroleum and natural gas resources management and improve the efficiency of the reserves discovery, exploitation and utilization of petroleum and natural gas resources. It also promotes the petroleum and natural gas resources data integration and resource integration and promotes the open sharing of government data. By enhancing the technical means of relevant departments in dealing with petroleum and natural gas resources management, and establishing a “data-driven” scientific management concept, we will improve the modernization of the government’s governance capacity.

Citation Download Citation

Shujun Huang, Dalei Fan, Wei Xiong, and Ziyu Zhang "Big data analysis research and application in the field of oil and gas resources management", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 1260921 (21 March 2023); https://doi.org/10.1117/12.2671315

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