MICROSERVICES IN THE OIL & GAS INDUSTRY: ENHANCING SCALABILITY AND EFFICIENCY WITH FASTAPI
Keywords:
Microservices, FastAPI, Oil, Gas Industry, Scalability, Workflow EfficiencyAbstract
This article explores the transformative impact of microservices architecture and FastAPI on the oil and gas industry's complex workflows. It examines how these technologies address the challenges posed by massive data volumes and intricate operations in areas such as land ownership tracking, well performance monitoring, and production forecasting. The article discusses the scalability, flexibility, and efficiency gains achieved through microservices, supported by case studies and performance metrics. It highlights FastAPI's role in enhancing microservices performance. It explores the benefits and challenges of transitioning from monolithic systems to a microservices-based approach in the context of the oil and gas sector's unique operational demands.
References
Deloitte, "2022 Oil and Gas Industry Outlook," Deloitte, 2021. [Online]. Available: https://www.deloitte.com/na/en/Industries/energy-chemicals/analysis/gx-oil-and-gas-industry-outlook.html
W. Zhang, D. Yang, and Y. Wang, "Data-driven methods for predictive maintenance of industrial equipment: A survey," *IEEE Systems Journal*, vol. 13, no. 3, pp. 2213-2227, 2019. [Online]. Available: https://ieeexplore.ieee.org/document/8707108
J. Bogner, J. Fritzsch, S. Wagner, and A. Zimmermann, "Microservices in Industry: Insights into Technologies, Characteristics, and Software Quality," in *2019 IEEE International Conference on Software Architecture Companion (ICSA-C)*, 2019, pp. 187-195. [Online]. Available: https://ieeexplore.ieee.org/document/8712375
L. Chen, "Microservices: Architecting for Continuous Delivery and DevOps," in *2018 IEEE International Conference on Software Architecture (ICSA)*, 2018, pp. 39-46. [Online]. Available: https://ieeexplore.ieee.org/document/8417115
S. Newman, "Building Microservices: Designing Fine-Grained Systems," O'Reilly Media, 2021. [Online]. Available: https://www.oreilly.com/library/view/building-microservices-2nd/9781492034018/
G. Casciaro, L. Mammino, "Node.js Design Patterns: Design and implement production-grade Node.js applications using proven patterns and techniques, 3rd Edition," Packt Publishing, 2020. [Online]. Available: https://www.packtpub.com/product/nodejs-design-patterns-third-edition/9781839214110
D. Perrons and A. Hems, "Cloud computing in the upstream oil & gas industry: A proposed way forward," Energy Policy, vol. 56, pp. 732-737, 2013. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0301421513000232
M. Grieves and J. Vickers, "Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems," in *Transdisciplinary Perspectives on Complex Systems*, Springer, 2017, pp. 85-113. [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-319-38756-7_4