|
|
|
|
Reverse Time Migration of up and down going signal for ocean bottom data |
The goals of our joint inversion scheme are threefold:
). To make use of the
measurement, we would need to apply elastic modeling. Our proposed joint inversion scheme will avoid this difficulty.
|
|---|
|
Flowchart2
Figure 6. This flowchart shows the relationship between multi-component pressure (P) and vertical particle velocity (Z) data, up- and down-going data, and over/under data. Reverse time migration (RTM) is performed with over/undre data and generate reflectivity in migration using a background velocity model. [NR] |
|
|
Our proposed scheme can be summarized using the flowchart in Figure 6. Field data
and
can be converted into up-going and down-going data at the receiver level by applying the PZ summation operator
. There are many ways to implement PZ summation; one of the simplest is described in Wong et al. (2009).
Next, up- and down-going data can be converted into over- and under- data using the adjoint of the separation operator
:
RTM is performed using over and under data via the RTM operator, denoted as
:
Since all three operators are linear, we can do acoustic RTM on
and
by applying a cascade of these operators, denoted as
:
We claim that by applying the inverse operator
instead of the adjoint operator
, the three goals discussed at the beginning of the section can be achieved. The testing of this theory is the focus of our current research.
|
|
|
|
Reverse Time Migration of up and down going signal for ocean bottom data |