Handling Model Uncertainty - Reservoir Model Design - page 168

Fig. 5.20 Did you
anticipate the trees?

missed, no amount of modelling of any kind can
compensate. The list is therefore central, includ-
ing the identification of issues not explicit in the
current data set, but which can be anticipated with
thought. Remember,

and herding. In: Curtis A, Wood R (eds) Geological
prior information. Informing science and engineering,
The Geological Society special publications, 239. The
Geological Society, London, pp 15-27
Bentley MR, Hartung M (2001) A 4D surprise at Gannet
B. EAGE annual technical conference, Amsterdam
(extended abstract)
Bentley M, Smith S (2008) Scenario-based reservoir
modelling: the need for more determinism and less
anchoring. In: Robinson A et al (eds) The future of
geological modelling in hydrocarbon development,
The Geological Society special publications, 309.
The Geological Society, London, pp 145-159
Bentley MR, Woodhead TJ (1998) Uncertainty handling
through scenario-based reservoir modelling. SPE
paper 39717 presented at the SPE Asia Pacific confer-
ence on Integrated Modelling for Asset Management,
23-24 Mar 1998, Kuala Lumpur
Box GEP, Hunter JS (1957) Multifactor experimental
designs for exploring response surfaces. Ann Math
Stat 28:195-241

there may be trees

(Fig. 5.20 ).

References

Alessio L, Bourdon L, Coca S (2005) Experimental
design as a framework for multiple realisation history
matching: F6 further development studies. SPE 93164
presented at SPE Asia Pacific Oil and Gas conference
and exhibition, Jakarta, 5-7 Apr 2005
Baddeley MC, Curtis A, Wood R (2004) An introduction
to prior information derived from probabilistic
judgements: elicitation of knowledge, cognitive bias