Research on Data Governance System of Oil and Gas Field Exploration and Development

Abstract

Digital transformation is a key factor to improve the efficiency of upstream production companies and accelerate key business decisions in the oil and gas industry. The goal of enterprise digital transformation is to transform traditional business into digital business. The essence of digital business is to process data as a new production factor and build products with data as the main form of existence. With the accelerated development of digital transformation, efficient management and use of massive data has become one of the core challenges in the process of digital transformation of enterprises. Oilfield data governance is an important means to improve oilfield production efficiency and economic benefits, and is also a necessary condition for data driven decision-making. Breaking data islands through effective data governance can promote the application of big data technology. This paper takes the data governance methods and key technologies in the application of oil and gas field exploration and development data as the research object, expounds the data governance system of exploration and development, and gives the solution of data governance and unified data management including data resource inventory, data standards, data quality management, data services and big data operation and maintenance, covering the main contents of the entire life cycle of data governance to solve the data governance problems encountered in the application of big data in the process of exploration, development and production, as well as in the construction of intelligent oil fields.

Copyright 2023, IFEDC Organizing Committee.

This paper was prepared for presentation at the 2023 International Field Exploration and Development Conference in Wuhan, China, 20-22 September 2023.

This paper was selected for presentation by the IFEDC Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the IFEDC Technical Team and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC Technical Committee its members. Papers presented at the Conference are subject to publication review by Professional Team of IFEDC Technical Committee. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of IFEDC Organizing Committee is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IFEDC.