Construction and Application of Intelligent Gas Field Integrated Model Data Sharing Platform

doi:10.11885/j.issn.1674-5086.2020.11.19.01

Abstract

Abstract: Integrated simulation model is an important basis for the construction of intelligent gas fields. How to use data-driven model in efficient operation has become a key problem to be solved urgently. In this article, in view of the data source dispersion, poor availability, low level of interaction with model, we carry out the following technical research:(1) combined with data service bus (DSB) and PI OLEDB interface technology, we realize effective integration of multi-source structured data and real-time sampling, meet production data's business requirements in different time dimension of the integration model; (2) we establish data quality rule base and automatic scanning system to realize the effective control of data quality and ensure the normal operation of the integrated model; (3) we develop data exchange tools based on data flow engine technology and has realized the automatic interaction between the comprehensive database and the simulation model. Its advantage is that when the application scene changes, the basic services flexible arrangement method can be used to efficiently reuse the results of data construction in the early stage, which greatly improves the development efficiency. Compared with similar technologies domestic and overseas, the application of data flow engine technology breaks through the interaction barrier between the integrated model and external data resources, breaks the service mode of customized data application development in this field, and lays a technical foundation for the construction of smart gas fields.

Key words: intelligent gas field, integrated model, data service, data flow engine, data interaction, flexible arrangement

CLC Number:

TE344

LI Yueyang, REN Jingsi, ZHANG Su, JIN Wei. Construction and Application of Intelligent Gas Field Integrated Model Data Sharing Platform[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2023, 45(1): 155-162.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2020.11.19.01

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2023/V45/I1/155

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