Click to view page image in pdf format.
7th Middle East Geosciences Conference and Exhibition
Manama, Bahrain
March 27-29, 2006
Data
Exploration & Production, Eni S.p.A, Via Emilia 1, San Donato Milanese, 20097, Italy, phone: +39 02 520 62315,
[email protected]
The target of this methodology is the building of a DFN model and the relevant fracture petrophysical parameters
evaluation. With the seismic
data
we can subdivide the brittle events in two different sets based on their scale:
seismic
faults (kilometric) and continuity cube scale events (hectometric). If well
data
are available we can insert in the models a
third set of fractures: the so called “log scale” fractures (decametric).
The seismic
scale faults can be introduced in a deterministic way directly from the static model. The interpreted continuity
cube events are filtered and then utilized to obtain a fracture intensity grid considered as the conceptual model to distribute
the fracture at this scale. The information coming from continuity cube, 3D-seismic and FMI
interpretation
are utilized in
order to get an expanded grid property distribution that represents the geological driver to distribute the fractures at the log
scale. Obviously, the final model has to honour the FMI
interpretation
, in terms of orientation and number of fracture
intersected by each well.
The dynamic validation of the DFN models has to be made using dynamic data
such as well test, interference test, etc., but
if they are not sufficient or not available at all, the Reiss approach (1980) or analogues
data
are alternative ways to get the
petrophysical evaluation of the fracture network from the DFN model.
Moreover, a 3D grid indicating the enhancement of porosity and permeability can be extracted directly by the fracture intensity grid without any fracture network petrophysical evaluation.