Abstract：This paper delves into the current application, challenges, and demands of data governance in the oil and gas industry, as well as methods and implementation strategies to enhance data governance efficacy through the latest technologies such as large language models and algorithm optimization. Through the analysis of the current application status of large language models in intelligent data classification, data quality improvement, knowledge extraction and management, and intelligent search and information retrieval, the main challenges and demands faced by the petroleum and petrochemical industry in data governance have been revealed. A set of data governance optimization solutions tailored for the oil and gas industry has been proposed. These solutions aim to address the current data management challenges in the industry through advanced data processing technologies and algorithmic optimization, enhance the efficiency and quality of data governance, and thereby support the digital transformation and development of the oil and gas industry.
出版日期: 2024-12-26
引用本文:
. [J]. 中国油气, 2024, 31(2): 27-32.
Wang Ling. Application of Large Language Models in Data Governance in the Petroleum and Petrochemical Industry. China Oil & Gas, 2024, 31(2): 27-32.
2024, Vol. 31 
