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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: Geovolume Visualization
Interpretation
:
Components and Techniques
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By
Magic Earth LLC
New visualization technology has created a paradigm shift in
the workflow of 3D seismic
interpreters. This change in
workflow is answering the growing demand for improved accuracy,
cycle time and cost. The geovolume visualization
interpretation
(GVI) components allow interpreters to implement
techniques that have previously not been possible. Four main
components make up geovolume visualization
interpretation
:
recognition, color, motion, and isolation. Recognition is essential
to an accurate
interpretation
and is dependent on the ability of
the interpreter to process
data
in a method that will separate an
important geologic event from surrounding
data
. Color allows
scanning of large volumes of
data
, using color as a way to stimulate
the brain through memory, attention and experience.
Motion is the ability to move an object in a manner appearing
continuous to the eye of the interpreter, while synchronizing
with control movements. Isolation is the determination of a set of
viewing parameters that will separate an event from its
surroundings. Understanding and combining these components
in various techniques is essential to achieving a GVI workflow that
identifies geologic events. The presentation involves both slide and
live demonstrations of visualization components and techniques.
Figure 1. A seismic
amplitude volume,
interpreted along with three interactively
processed
seismic
attribute volume
(Instantaneous Amplitude, Dip Semblance
and Phase). Each
seismic
attribute volume
is processed to enhance the recognition of a
specific went or feature in the
data
in this
case, a stream channel.
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Figure 2. This figure shows the we of volume rendered probes to locate a channel. The left probe is on the up-thrown side of a fault and the right probe is on the down-thrown side. The occlusion of one probe over another gives a depth perspective to the two probes, and shaving ads contrast and texture to the channel. The use of volume rendering isolates the event of interest.
Figure 3. Both color and transparency further enhance the recognition and isolation of the anomaly identified in Figure 1 and 2.
Figure 4.
Two geostatistically derived volumes.
(sand vs. shale, and steam). The center
volume is a combined rendering of both.
The cross-section view is shown in back
and the volume rendered view is shown in
front. This technique allows the
interpreter to visualize steam-penetrated
sand. Displaying the steam volume at
different time steps shows which sands
take on steam the fastest. The co-rendering
technique illustrated here shows the we of
visualization technology to fully integrate
all of the diverse data
types available in an
interpretation
project.
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