Data + Upstream, where is the road

Data is a key factor of production in the era of digital economy, a key outcome of the third Industrial Revolution, and an important foundation for the fourth Industrial Revolution. Data assets have become the core competitiveness of enterprise development, it is imperative to strengthen the precipitation and construction of data assets. With the acceleration of the process of digital transformation, data science and big data technology have become the core engine for the digital transformation and intelligent development of related industries.

The application of data science and big data technology, mining the value of data assets in the oil and gas field, providing efficient data and integrated services to support scientific research and decision-making management in the oil and gas exploration and development field is of great significance to promote the digital transformation of the oil and gas field, and is the only way for Chinese oil and gas enterprises to become first-class international oil companies.

New opportunities for digital transformation of oil and gas enterprises

 On April 20, 2020, the National Development and Reform Commission clearly included data centers as information infrastructure into the category of "new infrastructure". With the country's emphasis on strategic emerging industries and the proposal of the "new infrastructure" task, data centers have ushered in new development opportunities. In the future, a number of national data centers will be built successively. It is expected that by 2030, the scale of China's data native industry will account for 15% of the entire economy, the overall scale of data will exceed 4YB, accounting for 30% of the global data, and data science and big data-related applications will enter the rapid development track.

China's oil and gas exploration as a whole is in the middle stage of exploration. In recent years, the newly discovered large-scale oil and gas reserves are mainly concentrated in ultra-low permeability, deep depth and unconventional fields. How to apply data science and big data technology to improve the accuracy of structural interpretation, the conformity rate of reservoir interpretation and the success rate of geological target drilling is an important means to consolidate the foundation of long-term stable crude oil production and steady growth of natural gas. At present, China's petroleum enterprises have built a series of information management systems to realize the effective management and application of structured data, but for the lack of management systems such as various reports, articles and results, data assets have not been really established, and massive data still cannot be open and shared, which cannot effectively meet business applications. The integration of data science and big data technologies with E&P operations will provide new opportunities for digital transformation, high-quality development and the realization of strategic objectives in the oil and gas sector.

Data + upstream application roadmap

At present, the application of data science and big data technology has made some achievements, but it also faces many challenges. First, the application of data science and big data technology requires high-quality and all-round data support, and data governance is crucial. Second, the fragmented data in the upstream oil and gas field still need to be deeply integrated, especially the research and use of new generation information technology such as knowledge graph to achieve the integration of multi-source heterogeneous data, so as to build a complete knowledge system. Third, for different business applications, business applications of different organizations, and data, there is no unified platform management and control, and it is difficult to mine data value from the global level. Services can be built through the data center, and professional data association relationships can be established to realize the interoperation and sharing of applications and data. Therefore, the construction of data governance, knowledge graph, and data center in E&P will become the core of digital transformation in upstream fields.

First, attach importance to data governance and provide high-quality and comprehensive data sources. Over the years, Chinese oil companies have been committed to building a data governance system with clear classification, reasonable storage, efficient use, and sustainable improvement, including security mechanisms and data management. Taking petrochina as an example, in the upstream oil and gas field, in order to strengthen the enterprise-level management of geophysical data exploration areas, centralized management of the basin where mineral rights transfer blocks are located, and remote backup management, the construction of cloud data centers for geophysical data is carried out, and data and map data are uniformly controlled and managed to achieve comprehensive and complete management of bulk data in the upstream oil and gas field. In accordance with the principle of "two unified, one universal", the exploration and production sector builds a dream cloud platform, and gradually integrates multi-level and multi-dimensional data of petrochina's upstream specialties through the construction of a data lake to meet the needs of scientific research, production and business management of upstream oil and gas business.