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Channel detection

zovel zovol
zovel,zovol
Figure 8.
3-D synthetic test. (a) Synthetic velocity model for a channelized reservoir. (b) Modeled zero-offset data.
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xdip xpwd
xdip,xpwd
Figure 9.
Diffraction separation for the 3-D synthetic test from Figure 8. (a) Dominant in-line slope estimated by plane-wave destruction. (b) Diffractions separated from the data.
[pdf] [pdf] [png] [png] [scons]

zomig pwmig
zomig,pwmig
Figure 10.
Depth migration of the 3-D synthetic test data. (a) Migrated data. (b) Migrated diffractions.
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The third example is a 3-D synthetic dataset. The velocity model was designed to simulate a complex sand channel geometry in a deep-water clastic reservoir (Figure 8a). Including an overburden with stochastically generated velocity fluctuations on top of the reservoir model, we generated zero-offset data shown in Figure 8b. The data contain reflections from continuous parts of the model and numerous diffractions generated by the channel edges. Separating diffractions using in-line plane-wave destruction (Figure 9), we compare depth-migrated images of the original data and of the separated diffractions (Figure 10). The fine details of the stacked channel geometry are revealed by diffraction imaging.


next up previous [pdf]

Next: Conclusions Up: Examples Previous: Salt detection

2016-03-16