Geoscience Reference
In-Depth Information
5. Have you run sensitivities to check important
assumptions?
6. Have you considered the effects of possible
un-detected flow barriers in the system?
A final word about the future of property
modelling - if we are looking for fit-for-purpose
models for interpreting petrophysical well data,
then we are probably talking about high-
resolution near-wellbore models (Fig.
3.49
).
These models could be very detailed or could
be just a simple equation. Either way they need
to be focussed on the scale of rock property
variation - the subject of the next chapter.
References
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to constrain tidal
Fig. 3.49
Near-wellbore porosity model (1 m
2
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the Haltenbanken
10 m)
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A consistent method for handling net-to-
gross (N/G) and cut-off values?
2. Is your petrophysical data representative of
the rock unit (sampling problems, tails of
distributions), and if not how will you address
that uncertainty?
3. Have you used appropriate averaging and/or
upscaling methods?
4. Is the model output consistent with data
input? Compare the statistics of input and
output distributions. The variance may be as
important as the mean.
