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Abstract

Summary

This abstract outlines a methodology focused on measuring diverse but simple metrics derived from observed data to generate an overall history matching scorecard, rather than measuring the quality of a history matched model based on a combined objective function alone. The scorecard can be displayed as a dashboard, bringing more flexibility to filter, manipulate or highlight KPIs, wells or areas of interest.

The proposed scorecard dashboard uses a traffic light system which quickly indicates good matching quality zones as well as areas for improvements. The simplistic colour coded visualisation of the metrics allows easy knowledge transfer to management, other disciplines professional or any technical expert unrelated with the data set.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202310733
2023-06-05
2026-01-17

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References

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/content/papers/10.3997/2214-4609.202310733
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Enhanced History Matching Quality Check by Incorporating Metric Scorecard
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202310733
/content/papers/10.3997/2214-4609.202310733
/content/papers/10.3997/2214-4609.202310733
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