Abstract: Reconciling Fracture and Test Permeability
in 3d
Heterogeneity Models
DALY, COLIN, Smedvig Technologies; ALISTAIR JONES, BP; KES HEFFER, BP; ANNE-LISE HEKTOEN, Norwegian Computing Centre; LARS HOLDEN, Norwegian Computing Centre; PETER KING, BP
Summary
Fractures can play a significant role in contributing to
reservoir permeability
in some fields. The chief difficulty is that
a sufficiently accurate knowledge of fracture
permeability
in situ
is rarely available. We propose a method of distributing fracture
permeability
which takes into account test
permeability
to provide
a coherent description of reservoir
permeability
.
Firstly, an attribute, S, related to fracture permeability
is
identified and modelled throughout the field. In this case we use a
strain model which is considered to provide a good causal link to
the fracture
permeability
. In is important that the variable
chosen, S, may be modelled across the field and that at the wells
there is a functional relationship between the variable and the
permeability
. This relationship should be parametric,
kf=f(S,Q) with parameters Q. Secondly, we
must assign
permeability
to the fractures. We use an empirical
approach. The
permeability
associated with the fractures is simply
the difference between the dynamic
permeability
obtained from well
test and the
permeability
of the matrix as measured by core, but
since kf=f(S,Q) we simply use some curve fitting
technique such as regression to find the best Q relating
strain to the fracture component of
permeability
. Since S is
modelled over the field, this allows a model of
kf in the reservoir. Finally, the well test
permeability
is a further source of information. The
permeability
field previously obtained is then modified to account for this
extra information. A technique based on kriging was used to account
for the test information.
AAPG Search and Discovery Article #90937©1998 AAPG Annual Convention and Exhibition, Salt Lake City, Utah