- Gardner’s Equation.
- Nafe/Drake, Hilterman and other
density-velocity relationships.
- Use of available empirical data
(e.g. velocity logs, check shot surveys, gamma-gamma
density logs, etc.).
- User defined conversion algorithms
or formulae.
- Other approaches.
3. The density model can be as simple
or as elaborate as the corresponding velocity model
– up to and including a discrete value of density
for each x-y-z node within the profile or volume of
data.
4. Input of digital horizon data
(again, 2-D or 3-D) as interpreted on the seismic
workstation. The system incorporates a “universal
translator” for the conversion of one type of
horizon to another to accommodate company partner
teams, etc.
5. Computation of the gravity field
of the model, input of gravity data as recorded on
the survey, and a direct comparison between the two
fields.
6. Manipulation of the model using
both forward modeling and inversion processes based
on minimizing the misfits between model and measured
gravity fields.
7. On completion of the modeling
and/or inversion process, the revised earth model
is converted into the velocity domain, providing an
improved starting point velocity model for depth migration.
8. This iterative process and feedback
loop continues throughout the seismic migration and
interpretation process.
How it Works:
Gulf of Mexico Example
Figure 2 is a cross
section through a full three dimensional model of
a salt feature in the Gulf of Mexico. The density
cube is derived from available well control. The top
of salt is typically obtained from a simple initial
stretch to depth from the time interpretation. Later
– in the interpretive processing sequence –
this is updated with the post-stack or pre-stack depth
migration results.
The base of salt is input from an
initial time interpretation. In many cases the initial
base of salt interpretation is provided with confidence
factors, e.g. a 10 might be assigned to high seismic
confidence areas, a 0 being assigned to seismic blind
zones, and grades in between. The gravity modeling
can then be constrained by the high seismic confidence
areas, and the low (seismic) confidence areas are
then of most interest in the search for a better interpretation
using gravity modeling results.
The density and velocity data are
analyzed, typically using cross plots, and a function
is derived to convert between the density and the
velocity volumes. The gravity effect of the density
volume is computed and compared with the observed
gravity data, and the differences are resolved through
a series of automated structural and density inversion
techniques.
The final model should contain as
much seismic-gravity constraint as possible for optimal
results, often involving close interaction between
the gravity interpreter and seismic interpreter at
the same workstation.
Once the final density model is
constructed, the density-velocity function is used
to translate the alterations into an apparent velocity
cube. Figure 3 is the final result of
this process. Note the original outline of the salt
body (prior to integration of the gravity and seismic
results), shown as a white outline. In this case,
several thousand feet of change in the base of salt
are indicated through the multi-disciplinary approach,
as compared with the seismic-only approach.
A full 3-D view of an integrated
seismic-gravity model with well control is shown in
Figure 4, (page 12).
This process, in addition to providing
important and independent corroboration and improvement
to the seismic interpretation of the base of salt,
also provides an important source of long wavelength
velocity information beneath the salt masses.
This information, when injected
back into the velocity model used for producing the
final base salt and sub-salt images, can have a dramatic
impact on the enhanced quality of the seismic processing
results.
Economic Impact
In today’s team-oriented exploration
environment, the availability and use of real-time
interpretation software tools allow for the integration
of gravity and magnetic data at the same workstation.
This approach is now embraced by a growing number
of oil companies for:
- Increasing confidence in their
geologic interpretations.
- Decreasing risk.
To be most effective, the integration
of gravity and magnetics must take place at the earliest
stage of prospect development, and can continue throughout
the exploration process.
(Editor’s note: Brian Anderson
and Mark E. Weber are with FUGRO-LCT Inc., Houston.
Brian Anderson can be reached via e-mail at banderson@lct.com.
John E. Bain is with Galileo Geophysics.)
Printed with permission of AAPG Explorer.
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