Data + Upstream, where is the road

Data governance is the primary link of data system construction. It is suggested to strengthen data governance, and through the construction of data governance system, make these professional data available, easy to use and good use, so as to build high-quality, full-life cycle data assets in the upstream field of petroleum enterprises, and provide all-round data support for business research and operation management in the field of exploration and development.

Second, the construction of domain knowledge map, to carry out intelligent application exploration. The key to the transformation of data into assets in upstream oil and gas field is to construct the knowledge system of oil and gas data assets through the construction of exploration and development knowledge map. With the rapid development of artificial intelligence, especially deep learning and natural language processing technology, knowledge graph has shown rich application value in assisting intelligent question answering, natural language understanding, big data analysis, intelligent recommendation, Internet of Things device interconnection, interpretable artificial intelligence and so on. Knowledge graph technology can reduce the threshold for professionals to use knowledge and shorten the time of knowledge retrieval and investigation. It can quickly discover and tap the value of knowledge, and improve the efficiency of exploration and development decisions. Therefore, it is of great practical significance to realize the automatic management, intelligent retrieval and multi-dimensional analysis of exploration and development data by using the related technology of knowledge graph, and to apply it to various practices in oil and gas field.

To meet the scientific research and production requirements in the field of oil and gas exploration and development, the design and construction of the exploration and development knowledge map should comply with the actual business requirements, combine the characteristics of multi-professional and multi-disciplinary collaboration in the upstream field, consider the domestic scientific research and business model in the field of oil and gas, and construct the domain knowledge map from the geological perspective with basins and oil and gas reservoirs as the main line. The construction process includes knowledge system classification, ontology model construction, named entity recognition, relation extraction and knowledge fusion.

It is suggested to speed up the construction of knowledge map in the whole field of exploration and development, compile the construction standard of knowledge map in the field of exploration and development, complete the construction of knowledge map in the upstream field of oil and gas by co-construction mode, and comprehensively carry out the dual-drive exploration practice of "data + knowledge" in the upstream field, intelligently solve professional problems, and lead the development of "third generation artificial intelligence" technology.

Third, research and development of exploration and development data center, modular reuse service actual business scenarios. Data center refers to the use of a new generation of information technology to collect, calculate, store and process massive structured and unstructured data, and at the same time unify standards to form a big data asset layer, and then provide efficient data services that are strongly related to business, unique to enterprises and reusable. Application practice of data science and big Data technology Through the data center, to achieve the construction and application of data technology capabilities and data assets.

The data service is built through the data center to realize the interoperability and sharing of applications and data. The data in the application system will be split, decouple, and encapsulated into services, and form a new operation management logic, break the information island, achieve application integration and function modularization, service-oriented agile development, and realize business data and data business, to meet the needs of collaborative research and business application.

The field of exploration and development has complex dependence and correlation in terms of both professional and data, and the same kind of data will support services in different business scenarios. Therefore, it is suggested to comprehensively promote the construction of exploration and development data center, unify data, unify identification, refine business scenarios, and develop standard application modules to achieve reuse and support for different business scenarios. Paving the way for the business value of data assets.

In the future, through the in-depth application of data science and big data technology, a digital world of full perception, full link, full scene and full intelligence will be built in the upstream field of oil and gas, and then the business of the physical world will be optimized and reconstructed, and the traditional management model, business model and business model will be comprehensively innovated and reshaped, and the digital ecology will be fully built and digital innovation will be realized. Enhance the competitiveness of enterprises. (Zhou Xiangguang, Information Technology Center, Research Institute of Petroleum Exploration and Development, China)