Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering

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Podrobná bibliografie
Vydáno v:	Systems vol. 13, no. 6 (2025), p. 447-463
Hlavní autor:	Zhang, Wei
Další autoři:	Dai Zhixiang, Xia Taiwu, Chen Gangping, Zhang, Yihua, Zhou, Jun, Liu, Cui
Vydáno:	MDPI AG
Témata:	Data management Construction Data processing Fire protection Collaboration Digital transformation Oil fields Digital twins Knowledge Optimization Three dimensional models Structured data Knowledge management Design Engineering Data integration Anomalies Modal data Real time Dynamic models Gas industry Efficiency Semantics
On-line přístup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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Popis
Abstrakt:	To address the challenges of data fragmentation, inconsistent standards, and weak interactivity in oil and gas field surface engineering, this study proposes an intelligent delivery system integrated with three-dimensional dynamic modeling. Utilizing a layered collaborative framework, the system combines optimization algorithms and anomaly detection methods during data processing to enhance the relevance and reliability of high-dimensional data. The model construction adopts a structured data architecture and dynamic governance strategies, supporting multi-project secure collaboration and full lifecycle data management. At the application level, it integrates three-dimensional visualization and semantic parsing capabilities to achieve interactive display and intelligent analysis of cross-modal data. Validated through practical engineering cases, the platform enables real-time linkage of equipment parameters, documentation, and three-dimensional models, significantly improving data integration efficiency and decision-making capabilities. This advancement drives the transformation of oil and gas field engineering toward intelligent and knowledge-driven practices.
ISSN:	2079-8954
DOI:	10.3390/systems13060447
Zdroj:	Advanced Technologies & Aerospace Database