Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   PETROLEUM RESEARCH   WINTER 2015 , Volume 24 , Number 80; Page(s) 123 To 134.
 
Paper: 

APPLICATION OF SINGULAR VALUE DECOMPOSITION FOR RANDOM NOISE ATTENUATION IN SYNTHETIC AND REAL SEISMIC DATA

 
 
Author(s):  MORTAZAVI S.A.*, JAVAHERIAN A.
 
* DEPARTMENT OF PETROLEUM ENGINEERING, AMIRKABIR UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN
 
Abstract: 

The presence of many types of noises such as random noise in the seismic data cause some problems; so, they must be attenuated in the processing steps. Singular value decomposition (SVO) is a coherency and linear algebra based filter, which can detect horizontal events in the first eigenimages. For random noise attenuation, after geometry assigning, in common depth point (COP) gather, after velocity analysis and dynamic corrections and before stacking data, SVO is applied to data. The aligned reflectors are detected at first eigenimages, then they are reconstructed; hence another eigenimage, which contains random noise, is zeroed and the random noise will be attenuated. Because the SVO can detect the horizontal event, if static and dynamic corrections are not applied to data correctly and in the common depth point gather, the reflectors have fluctuations and SVO cannot separate between reflectors and random noise viable. In this paper, these steps are applied to a synthetic common depth point gather with various ratios of signal to noise and to a real common depth point gather from one of the Iranian land hydrocarbon field. According to the results, singular value decomposition can attenuate the random noise and preserves the reflectors considrably. Furthermore, this subject is shown in the synthetic data with high noise level (SNR=1).

 
Keyword(s): RANDOM NOISE, ATTENUATION, SINGULAR VALUE DECOMPOSITION, EIGENIMAGES
 
 
References: 
  • Not Registered.
  •  
  •  
 
Citations: 
  • Not Registered.
 
+ Click to Cite.
APA: Copy

MORTAZAVI, S., & JAVAHERIAN, A. (2015). APPLICATION OF SINGULAR VALUE DECOMPOSITION FOR RANDOM NOISE ATTENUATION IN SYNTHETIC AND REAL SEISMIC DATA. PETROLEUM RESEARCH, 24(80), 123-134. https://www.sid.ir/en/journal/ViewPaper.aspx?id=509351



Vancouver: Copy

MORTAZAVI S.A., JAVAHERIAN A.. APPLICATION OF SINGULAR VALUE DECOMPOSITION FOR RANDOM NOISE ATTENUATION IN SYNTHETIC AND REAL SEISMIC DATA. PETROLEUM RESEARCH. 2015 [cited 2021August02];24(80):123-134. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=509351



IEEE: Copy

MORTAZAVI, S., JAVAHERIAN, A., 2015. APPLICATION OF SINGULAR VALUE DECOMPOSITION FOR RANDOM NOISE ATTENUATION IN SYNTHETIC AND REAL SEISMIC DATA. PETROLEUM RESEARCH, [online] 24(80), pp.123-134. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=509351.



 
 
Persian Abstract Yearly Visit 62
 
 
Latest on Blog
Enter SID Blog