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Abstract

Summary

When choosing which approach to take when doing facies modelling there has traditionally been a trade-off between geological realism and how much well data to incorporate into your model. If geological realism had the priority, the choices available typically are stochastic object-based modelling techniques. With an abundance of well data the choices have been pixel based algorithms, such as Indicator or Multi-Point Statistics, since object modelling has taken too long time to be able to correctly condition to the well data.

Recently, we published a new object modelling algorithm that has significantly increased the well conditioning capability compared to previous methods. Here, we demonstrate this solution applied to a fluvial reservoir with meandering channels in the North Sea, where we obtain perfect well data conditioning for all four modelled facies, channel, levee, crevasse and background. The geological geometries that are needed to represent each of the facies are honoured, while still allowing for enough flexibility to condition to well data and maintaining their geological realistic shapes.

With a significantly faster algorithm, the new facies object modelling solution again becomes relevant in any setting involving automatic generation of many realizations.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201800792
2018-06-11
2024-04-16

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References

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Facies Modelling of a Real-Life Fluvial System Using a Modern Object-Based Algorithm
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201800792
/content/papers/10.3997/2214-4609.201800792
/content/papers/10.3997/2214-4609.201800792
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