Reservoir flow uncertainty management in presence of stochastic parameters
Authors
Fetel E.
Journal/Article/Conference
X European Conference on the Mathematics of Oil Proceedings
Abstract
This paper focuses on the management of uncertainty associated
with production variables in presence of stochastic uncertain input parameters.
In particular, it aims at dealing with n-dimensional non-linear response surfaces.
A stochastic parameter is defined when the relationship between its variations and
flow response variations is purely random. A typical example is the seed for
geostatistical simulations. Alternatively, if the relationship is not random
the parameter is said continuous. Here, the key idea is to model not a single
response surface but a probability density function varying in the n-dimensional
space of the continuous parameters. In this framework, this paper develops (1)
a response surface building approach, (2) a variance based sensitivity analysis
scheme for identifying influential parameters and (3) a bayesian inversion
technique for integrating a given production history. The proposed techniques
do not require any prior regression model and are based on Monte Carlo
sampling. Thus, the developed approach is suitable for n-dimensional and
non-linear problems. Finally, the approach is validated on a
fluviatile-like reservoir model.
BibTeX Reference
@INPROCEEDINGS{Fetel2006ECMOR,
| AUTHOR
|
=
{Fetel E.}
,
|
| TITLE
|
=
{Reservoir flow uncertainty management in presence of stochastic parameters},
|
| BOOKTITLE
|
=
{X European Conference on the Mathematics of Oil Proceedings},
|
| YEAR
|
=
{2006},
|
| address
|
=
{Amsterdam, The Netherlands},
|
| organization
|
=
{European Association of Geoscientist and Engineers},
|
| month
|
=
{September}
|
}
