Paper
7 August 2024 Study and implement on 3D reservoir dynamic modelling and trace simulation system
Juan Wang, Hongfang Wei, Liang Cai, Musen Zhang, Rui Huang, Haoran Cheng
Author Affiliations +
Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 132292H (2024) https://doi.org/10.1117/12.3038660
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China
Abstract
With the deepening development of the gas and oil field, it is very important to data processing workload, low utilization of historical resources and high cost of introducing commercial software. Based on technical characteristics of BS and CS software architecture, this paper researched reservoir dynamic modelling and trace simulation system combined with adaptive neural network and FVM, and established an integrated platform for dynamic geological modelling and reservoir simulation over time. In addition, according to the newly added dynamic and static data, iterative fast update and tracking simulation of the reservoir model using OpenGL technology. The system fully demonstrated the practical significance of dynamic modelling and tracing computation, it is also play an important role in cutting production costs and optimizing production measures.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Juan Wang, Hongfang Wei, Liang Cai, Musen Zhang, Rui Huang, and Haoran Cheng "Study and implement on 3D reservoir dynamic modelling and trace simulation system", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 132292H (7 August 2024); https://doi.org/10.1117/12.3038660
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KEYWORDS
Data modeling

3D modeling

Data communications

Modeling

Visual process modeling

3D tracking

Process modeling

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