Skali lagi ttg attribute dari explorer

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The Geophysical Corner is a regular column in the EXPLORER, edited by
Dallas consulting reservoir geophysicist Alistair R. Brown. This
month's column deals with "The Use and Abuse of Seismic Attributes."

Don't Abuse Seismic Attributes
By HANS SHELINE 

Seismic interpretation is a cornerstone of our industry, as
interpretation success has grown increasingly dependent on ever-newer
combinations of seismic attributes (SAs).

Attributes are simply defined as information extracted or computed
from seismic data. What combinations work best depend on reservoir
characteristics, the available data and, most importantly, human
expertise.

Seismic attributes are not magic, but the explosion of 3-D seismic at
the end of the 20th century resulted in dramatic increases in the
types, combinations and uses of SAs. We now have available
multi-trace, pre-stack, horizon, wavelet and 4-D attributes in
addition to those derived from shear wave volumes. These allowed for
significant improvements in estimates of reservoir properties from
seismic (RPFS).


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The accompanying table defines terms used in seismic attribute analysis today.

The explosion of potentially useful attributes requires seismic
interpreters to keep current and to have the most effective efficient
"fit for purpose" work flows. One important aspect of these work flows
is "starting with the end in mind." For example, if amplitudes or wide
azimuths are critical, the seismic acquisition and processing for
those SAs should be optimized.

Unfortunately, the potential for abusing seismic attributes also has
increased. One common abuse of seismic attributes often occurs
"because it's there." Interpreters today have access to many SAs on
their workstations, but often have very little time to properly
understand these attributes, model them and correctly correlate them
with ground truth and the principles of physics.

Be wary of pretty SAs that are not well understood. This can damage
your credibility while tarnishing the true potential of SAs. Don't
expect your workstation to pop out the solution.

Be wary of "black box" answers. Instead, commit the resources to
correlate, model and understand your SAs, and what they can and cannot
do.

Workstations now make it very easy to generate, for example, the third
derivative of the instantaneous phase or the second derivative of
instantaneous frequency. Even if this SA correlates with ground truth
somehow, will you understand it or trust its significance?

Another abused shortcut often sounds like: "Just give me the one
attribute that solves my problem."

In some unusual areas, interpreters have been able to succeed using
only a single attribute interpretation. However, I have not yet found
an area where a single attribute provides the optimum answer.

Note in figure 2 how none of the four attributes alone show the sand
channel very well -- but when they are combined, the result is both
quantitatively and areally more accurate than any individual
attribute.

This example shows the dramatic potential of SAs for lithology
prediction. We add value by using experience to improve estimates of
reservoir properties from seismic (RPFS), reducing risk and helping to
quantify uncertainty.

Therefore, avoid grabbing the first attribute(s) that seems to work.

Instead, develop a robust, efficient work flow that quickly considers
many of the most promising attributes and objectively correlates them
with seismically scaled and corrected ground truth. Then model these
attributes to understand and optimally guide the SA combination to
best estimate the reservoir properties, and quantify the uncertainty
of those estimates.

There is also a real danger of using too many SAs to "over-fit" the
data. With unlimited attributes -- and therefore unlimited degrees of
freedom -- statistical accidents will occur. The critical step is
testing for significance -- for example, by blindly dropping one well
or zone at a time. The number of attributes ideal for reservoir
property estimation typically varies from two to four, depending on
the area, data and objective.

Case History Example
Despite the pitfalls in seismic attribute analysis (SAA), there are
many successful examples of predicting RPFS. For example, consider
figure 2: It is often important and valuable to define the 3-D extent
of a channel or sand body. Figure 2 shows an example of combining four
3-D attribute volumes along with the appropriate well information to
predict lithology.

Once you've optimized your SAA workflow, it can dramatically improve
property and risk estimates. Robust work flows have been developed on
data sets around the world, in clastic and carbonate environments,
onshore and offshore. The accuracy of estimates varies with location,
data quality and objectives.

The speed and accuracy of reservoir modeling and simulation has also
been improved using RPFS estimates and associated uncertainty cubes.

Recommendations
Keep up-to-date on seismic attributes, SA analysis and work flows. 
Edit and scale well data to ensure appropriate ground truth ties to
the seismic, including positioning, scaling, wavelet and phase issues.
Understand the physics and significance of SAs by forward modeling.
For example, testing the sensitivity to varying thickness or fluid
substitution.
Avoid known abuses or pitfalls, including assuming well data is ground
truth; sloppy ties; "because it's there"; black boxes; endless SA
derivatives; single attribute obsession; over-fitting; and not blind
testing for significance.
Determine the most useful SAs, input cubes and SAA methods for your
objectives, and how accurate your RPFS estimates are.
Optimize your critical SAs, when appropriate, by acquiring/processing
3-D seismic proactively.
Communicate uncertainty via uncertainty cubes. 

-- 
my blog :
http://putrohari.tripod.com/Putrohari/

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