Using a 4-D
Synthetic
Model
Derived from Outcrop Interpretation to Optimize Reservoir
Characterization: An Integrated Approach
Euzen, Tristan, Aline Bourgeois, Karine Labat, Valerie Langlais, Remi Eschard, Thierry Tonellot, Institut Français du Pétrole, Rueil-Malmaison Cedex, France
Reservoir monitoring using 4D seismics
is becoming increasingly important for the management of hydrocarbon fields.
The visualization of the reservoir properties changes during production
(saturation, pressure…) using seismic data is nowadays a key decision tool to
optimize well development plan and well design. However, the workflow for
optimizing the reservoir management remains complex, since it requires the
integration of tools and techniques designed for geologists, geophysicists and
reservoir engineers.
This poster present preliminary results of the construction of a
4D synthetic
model
, based on the detailed 3D interpretation of an outcrop of a turbiditic channel complex (Pab
Fm., Pakistan). A fine-scale 3D geo-cellular
model
was built
and fill with sedimentary facies and petrophysical and elastic properties, using a geostatistical approach. Full-wave seismic modeling using a
linearized rai-born
algorithm was performed on this first static
model
, taking into account
initial water-oil contact position and fluid saturation. Dynamic modeling of
water injection and oil production was then carried out on the fine-grid
model
at the field scale. Finally, time lapse seismic modeling was achieved on the
same
model
, after the updating of saturation and pressure.
The 4D synthetic
model
will be
used
as a virtual reservoir, by extracting well and seismic data
and applying various methods such as well test simulation, pre-stack stratigraphic inversion, lithoseismic
interpretation, geostatistical reservoir modeling,
up-scaling or history matching. The qualitative and quantitative comparison of
the outputs with the 4D reference
model
will provide a unique opportunity to
benchmark and optimize these advanced reservoir characterization techniques.