In Figure is a 3D Gulf of Mexico data set provided by Chevron. The manually interpreted fault model is displayed in Figure . Two faults are identified in the figure. Fault 1 has part of its tip-line encased within the cube as can be observed by its termination in the time slice. Fault 2, on the other hand, does not terminate within the data cube. Because Fault 1 terminates within the data cube, no constraints need to be provided to flatten across it, however, Fault 2 requires some picking. In this case, I picked one vertical pair of traces across Fault 2. Then I applied the weighted Gauss-Newton method with the weight being the picked fault model. The binary mask is ones for unconstrained model locations and zeros for constrained model locations. The initial model is the picked pair of traces correlating across Fault 2.
Figure is flattened volume of the data in Figure . Notice the horizons are reconstructed across both faults. Notice the faint outline of a channel that is annotated on the figure. Another view of the same cube is displayed in Figure . Several stratigraphic features are reconstructed across both faults. In addition to a fault model, the only picks required were from a single trace of correlations across Fault 2. Also, the field used to flatten this data is displayed in Figure .
In Figure every 25th tracked horizon of the Gauss-Newton constrained flattening method in displayed. Notice the overlain horizons track their respective events across both faults. In short, I reconstructed this 3D volume by correlating a single pair of traces across a fault. It should be pointed out that an automatic fault indicator could substitute for the fault model, reducing the amount of manual interpretation even further.