68th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2006 2006
DOI: 10.3997/2214-4609.201402400
|View full text |Cite
|
Sign up to set email alerts
|

Time-Spectral Analysis for 4D Data Q-Controlled Calibration

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
6
0

Year Published

2015
2015
2015
2015

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(6 citation statements)
references
References 0 publications
0
6
0
Order By: Relevance
“…The method is derived similarly to that of Dasgupta and Clark (), Wang (), Lecerf et al . (), and Blanchard et al . () by assuming a propagating wave whose amplitude as a function of frequency and depth is given by A(z,f)=G(z)A0(f)eα(f)zei(2πftkz),with magnitude |A(z,f)|=G(z)A0(f)eα(f)z,where f is the frequency, z is the depth, k is the wavenumber, t is time, A0(f) is the input source amplitude, A(z,f) is the amplitude of the recorded signal as a function of frequency and depth, G(z) is the geometrical spreading factor (assumed to be real as is standard in seismic processing), and α(f) is the frequency‐dependent attenuation coefficient.…”
Section: D‐relative Spectrum Methodsmentioning
confidence: 85%
See 4 more Smart Citations
“…The method is derived similarly to that of Dasgupta and Clark (), Wang (), Lecerf et al . (), and Blanchard et al . () by assuming a propagating wave whose amplitude as a function of frequency and depth is given by A(z,f)=G(z)A0(f)eα(f)zei(2πftkz),with magnitude |A(z,f)|=G(z)A0(f)eα(f)z,where f is the frequency, z is the depth, k is the wavenumber, t is time, A0(f) is the input source amplitude, A(z,f) is the amplitude of the recorded signal as a function of frequency and depth, G(z) is the geometrical spreading factor (assumed to be real as is standard in seismic processing), and α(f) is the frequency‐dependent attenuation coefficient.…”
Section: D‐relative Spectrum Methodsmentioning
confidence: 85%
“…4DRSM estimates attenuation between t 1 and t 2 in each survey separately and does not require the attenuation above the reservoir, γ 1 , to be the same between the two surveys as in Lecerf et al . (). In our analysis we thus do not require precise balancing of the amplitude (and spectrum) between the baseline and the monitor traces as the balancing filter cancels during the relative ratio estimation (i.e., log(A2FA1F)=log(A2A1), where F is the balancing filter between the baseline and monitor traces).…”
Section: D‐relative Spectrum Methodsmentioning
confidence: 97%
See 3 more Smart Citations