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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: How to Lower the Migration Risk using
Basin Modeling: 3D
Fluid
-Flow
Fluid
-Flow
Chevron Energy Technology Co.
Fluid
-flow modeling is in many cases the most challenging and
time-consuming task in an integrated basin modeling
approach. Because of this the chemistry and physics are often
simplified in standard
fluid
-flow modeling
workflows. Compositional changes and variation
of dependent physical
properties
, such as
viscosities and densities, are not often taken
into account. The standard approach for
fluid
-flow modeling often includes bulk
petroleum
or one oil and one gas component
and using methods such as the black-oil
models for chemo-physical description.
The black-oil model is based on two pseudo
components describing predefined
properties
. Using predefined
properties
reduces the predictive ability of
fluid
-flow modeling
significantly because it forces the model to a decisive (and
predefined) outcome. However, it is well known that accurate
modeling of the
reservoir
fluids’ densities is not only necessary
for API gravity prediction but also for break-through analysis.
Thus compositional effects cannot be neglected in general in
migration modeling.
One way to increase the predictability in
fluid
-flow modeling
is to use multi-component description together with flash
calculations to describe the
fluid
during all stages of migration.
This analysis must include all stages of migration from
expulsion, secondary migration, entrapment and breakthrough
to dismigration.
This talk will show and compare an implementation of multicomponent
methodologies into
fluid
flow algorithms. The
modeling methods used are
1. Darcy flow modeling;
2. ray-tracing-based flow modeling;
3. a combination of Darcy flow and raytracing
(hybrid); and
4. invasive percolation.
Focus is put on multi-component implementations
of these methods. The same PVTanalysis
algorithm is applied in all models.
This enables better comparison of the
fluid
flow methods themselves. A result from a case study clearly
shows the necessity of applying multi-component
fluid
flow
modeling with advanced PVT-property prediction as a
“standard” method. This example shows the advantages and
disadvantages of the individual methods, although statements
concerning the superiority of one method compared with another
cannot be made because each method has its own advantages
and disadvantages.
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