AL-QASSAB, HISHAM
Saudi
Aramco, Dhahran, Saudi Arabia, 31311
Abstract: Constraining Permeability
Field to Engineering Data: An Innovative Approach in Reservoir Characterization
Reservoir characterization can yield
major improvements in reservoir management and hence in reservoir forecasting.
The use of engineering data in reservoir characterization has become increasingly
important particularly when it comes to permeability
modeling. This paper
presents a new technique in integrating engineering data such as pressure
buildup tests and flow meter surveys in conditioning core
permeability
data to capture high flow zones in stratified reservoirs.
Flow meter is used to allocate total permeability
from pressure buildup tests to produce a
permeability
log that has the
same vertical resolution as the flow meter. Series of cross validations
are performed between core
permeability
and
permeability
derived from engineering
data. These validations include statistical comparison between the two
sources of
permeability
for each facies. Comparison of porosity relationship
with both sources of
permeability
is also done. Once the cross validation
phase is fulfilled then an integration stage is performed.
Permeability
from engineering data is used to sample the cumulative density function
of core
permeability
cloud transform.
Finally, the spatial correlation of permeability
is obtained from the radial diameter of the pressure buildup test to construct
a
permeability
model. This model is then compared with conventionally built
permeability
model. In a case study, model conditioned to engineering data
shows better results of capturing the high flow zones in a case study for
a highly stratified Saudi Arabian reservoir.
AAPG Search and Discovery Article #90921©1999 AAPG Mid-Continent Section Meeting, Wichita, Kansas