Intelligent reservoir dynamic analysis management system

Xiao-yan Wang; Yan-juan Ma; Pei-qi Shi; Chuang Wang; Hui-feng Dang

doi:10.1117/12.2648735

27 September 2022 Intelligent reservoir dynamic analysis management system

Xiao-yan Wang, Yan-juan Ma, Pei-qi Shi, Chuang Wang, Hui-feng Dang

Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123451L (2022) https://doi.org/10.1117/12.2648735
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China

Abstract

Taking the oil reservoir managed by an oil production plant as the main object, and mainly aiming at the problems existing in the current oil reservoir dynamic analysis, such as the heavy workload of data statistics, the incomplete function of drawing pictures, and the cumbersome filling of reports, we have fully investigated the current technical cadres of the whole plant. On the basis of understanding the current data requirements, functional requirements and operating habits, through the basic database, an intelligent management data platform for reservoir dynamic analysis is established. The system can meet the current reservoir dynamic analysis data statistical query, curve drawing, automatic report generation and other functions, provide convenience for development and analysis, and improve work efficiency and quality.

Citation Download Citation

Xiao-yan Wang, Yan-juan Ma, Pei-qi Shi, Chuang Wang, and Hui-feng Dang "Intelligent reservoir dynamic analysis management system", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123451L (27 September 2022); https://doi.org/10.1117/12.2648735

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