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level of detail was applied. The frame rate drops more than 2.5 times for a
borehole 10 times larger (100 m), with level of detail already applied. One should
expect that when we double the borehole size, the frame rate should drop 5 times
and so on. But with the level of detail applied, the triangle count does not grow
much fast and the frame rate becomes stable.
The system is scalable for visualization of very large boreholes. Since it's
estimated that specialists will analyze sections of 500 m or less at a time, the
current performance is more than enough for a completely smooth analysis.
Figure 13.12 shows how the number of triangles does not increase as fast as the
borehole length, consequence of the level of detail used to render the scene, what
means that only the necessary triangles are sent to GPU memory. This allows
larger sections and higher resolutions without significant rate loss.
13.9 Conclusions
In this chapter, the authors presented a framework for real-time visualization and
geometry reconstruction of large oil and gas boreholes.
The visualization of a borehole is a relevant issue for the oil and gas industry as
well for the productivity of the field. If you know where the problem can occur or
where it is better to drill you can increase your production.
The tool proved to be able to scale up for really huge wells since in all the
instances clearly show that even on the wellbores with thousands of meters the
system provides an interactive rate of at least 200 frames per second for all the
well-visualization tasks like moving, zooming, rotation, and translation.
The tool can help you spend less time analyzing wellbore stability issues,
helping decisions, reducing project risks, drilling costs, and increasing the project
profit.
However, there are still many features to be implemented as you can see on the
future work section.
13.10 Future Works
At present, we are only using a simple interface with a mouse and a 3D view. The
next aim is to provide a better visualization of the well using a touch surface table,
controllers, and 3D glasses. As future work, we also intend to target it at further
development, increasing interaction and automated diagnosis of failures on the
well.
Acknowledgments
The authors would like to acknowledge Petrobras Oil for the financial
support.
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