Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering
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| Pubblicato in: | Systems vol. 13, no. 6 (2025), p. 447-463 |
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| Autore principale: | |
| Altri autori: | , , , , , |
| Pubblicazione: |
MDPI AG
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| Soggetti: | |
| Accesso online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| Abstract: | 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. |
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| ISSN: | 2079-8954 |
| DOI: | 10.3390/systems13060447 |
| Fonte: | Advanced Technologies & Aerospace Database |