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

Sparad:
I publikationen:Systems vol. 13, no. 6 (2025), p. 447-463
Huvudupphov: Zhang, Wei
Övriga upphov: Dai Zhixiang, Xia Taiwu, Chen Gangping, Zhang, Yihua, Zhou, Jun, Liu, Cui
Utgiven:
MDPI AG
Ämnen:
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
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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
Källa:Advanced Technologies & Aerospace Database