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7th Middle East Geosciences Conference and Exhibition
Manama, Bahrain
March 27-29, 2006
Seismic
– An Advanced Technology to Improve Reservoir Description -
Case Histories
Eni E&P, Via Emilia, 1, San Donato Milanese, 20097, Italy,
phone: +39 02 52062565, fax: +39 02 52063897, [email protected]
This paper describes the results achieved in applying the Integrated Crosswell Seismic
(ICS) technology in several Oil
Fields worldwide. ICS is an innovative methodology to improve the description of the internal geometries of the reservoir
between two or more wells, which has evolved from being primarily an exploration tool, to a development and reservoir
management tool. ICS requires the joint measurement and
interpretation
of two different
seismic
events: a) Direct arrivals
for tomographic inversion; b) Reflection arrivals for reflection mapping; This new approach yields several practical
advantages:
- Extremely high resolution (2'-3' vertically) of the geology and structural imaging (10 to 100 times better than
that achievable with surface
seismic
);
- Measurements directly referenced in depth;
- Near surface effects (topography, weathering or gas sands, etc.) entirely bypassed;
Seismic
, log and core
data
integration.
This technique can allow the imaging of the interwell fluid movement if applied in time-lapse mode. In fact, it can be
sensitive to variations - induced by the production operations - as little as 1% in velocities In the last two years Crosswell
Seismic
Data
were acquired in several oil Fields as part of a reservoir characterization project being conducted by Eni E&P
on Italian and overseas fields. The case histories were collected from fields with different reservoir lithologies and related to
different geological frameworks. The selected case histories show the high flexibility and applicability of the methodology in
the reservoir management activities for different type of challenges:
- Higher resolution structural & stratigraphic imaging;
- Geological model building and validation;
- Petrophysical properties estimation;
- Identification of “infill” drilling targets;
- Time lapse interwell monitoring and fluid flow imaging.