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Abstract

Summary

Benchmarking reservoir performance predictions against known outcomes is integral to subsurface workflows and is an essential part of assurance. With the growth of computing power it has become straightforward to build complex reservoir models, and benchmarking provides a powerful way to calibrate predicted outcomes and ensure that they are grounded on actual performance.

Bp has therefore built an advanced reservoir benchmarking toolkit that seamlessly integrates static and dynamic data from internal and external data sources to enable powerful analysis and ML predictions. It is used to assure every major capital investment decision, including partners’ field development plans. It provides evidence to justify reserve bookings; informs Exploration and M&A activity and is also used to screen our portfolio for improved field recovery opportunities.

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/content/papers/10.3997/2214-4609.202539015
2025-03-24
2026-02-13
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References

  1. Dromgoole, P. & Speers, R. [1997]. Geoscore: a method for quantifying uncertainty in field reserve estimates. Petroleum Geoscience v3, p1–12
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