![]() |
![]() |
![]() |
![]() | Noniterative f-x-y streaming prediction filtering for random noise attenuation on seismic data | ![]() |
![]() |
A 3D synthetic CMP gather created by Liu and Chen (2013) shows hyperbolic
events (Fig. 5a). The data size is 126-sample (time)
101-sample (X)
101-sample (Y). The corresponding
noisy data is shown in Fig. 5b. The challenge in this
case is to account for both strong random noise and nonstationary
events. Fig. 6a shows the denoised result using the 2D
-
SPF with 5-sample (
) filter size, which uses the scale
parameters of 1.0 (
) and 4.5 (
). Note that
the
-
SPF can attain relatively high SNR
(Table 2). However, it cannot provide sufficient
protection for curve events; the events at far offsets can be
destroyed (Fig. 6a) and part of the signals are left
(Fig. 6b). Figure 6c is the denoised
result by using the 3D curvelet transform, we adopted the percentage
threshold with 10% to mute the random noise, and the 3D curvelet
transform effectively suppresses the noise, but part of the signal
energy leaks into the noise profile at
km (X)
(Figure 6d). We compared the proposed method with the
3D
-
-
RNA, and the filter size is 5-sample (
)
5-sample (
). The denoised result (Fig. 6e) and the
removed noise (Fig. 6f) illustrate that the
-
-
RNA protects more signal by removing less noise. The
parameters of the 3D
-
-
SPF are selected as 1.0
(
), 4.5 (
), and 4.5 (
),
respectively. The filter size of the 3D SPF is the same as that of the
3D RNA. The proposed method recovers the curved events reasonable well
(Fig. 6g), similar to the
-
-
RNA. However,
the
-
-
SPF saves more computational resources and reveals a
higher SNR than the
-
-
RNA (Table 2).
![]() ![]() |
---|
cmpmod,cmpnoise
Figure 5. Synthetic 3D CMP gather (a) and noisy data (b). |
![]() ![]() ![]() ![]() ![]() |
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
cmpspf2,cmperrspf2,cmpct,cmperrct,cmprna,cmperrrna,cmpspf3,cmperrspf3
Figure 6. Denoised result by the ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
![]() |
![]() |
![]() |
![]() | Noniterative f-x-y streaming prediction filtering for random noise attenuation on seismic data | ![]() |
![]() |