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Abstract

Summary

Effective reservoir fluid data workflow management is essential in optimizing the production strategies for field development planning. This paper explores the complexities of managing reservoir fluids data and highlights the benefits it will offer for asset optimization, contributing to a holistic approach to reservoir management. After several trials, BP has now implemented a robust cloud-based digital solution for fluid data management, which has enhanced data curation, visualization, and accessibility, offering data integration to fluid practitioners. By leveraging tools such as Microsoft Power BI for visualization, and also integrating machine learning as the next stage, BP is now able to predict the fluid behavior and the flow assurance risks more efficiently. Data-driven decision-making provides cost savings by enabling proactive risk mitigation and assisting with designing the fluid contracts. Furthermore, the system’s potential for real-time data monitoring and compatibility with larger data platforms highlights its scalability and future-proof design, ensuring the continuous advancement of reservoir fluids data management in a digital landscape.

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/content/papers/10.3997/2214-4609.202539071
2025-03-24
2026-02-08
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References

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