A modified expression of Q attribute and its application in hydrocarbon prediction
- Yanli Liu (China university of petroleum (East China)) | Zhenchun Li (China university of petroleum (East China)) | Guoquan Yang (China university of petroleum (East China)) | Qiang Liu (China university of petroleum (East China))
- Document ID
- Society of Exploration Geophysicists
- SEG International Exposition and Annual Meeting, 15-20 September, San Antonio, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Exploration Geophysicists
- Reservoir characterization, Attenuation, Interpretation, Q
- 0 in the last 30 days
- 7 since 2007
- Show more detail
Quality factor (Q) is an important parameter to quantify the loss of seismic energy in subsurface. Oil and gas absorb the high frequency components greatly so the low value of Q can be as the symbol of oil or gas. Accurate Q estimation is necessary for seismic data imaging and interpretation. To estimate Q, frequency shift (FS) method is considered to be an effective method. The most commonly used FS methods are centroid frequency shift (CFS) method and peak frequency shift (PFS) method. The centroid frequency has the advantage of stability but the assumption that the seismic spectrum is Gaussian shape, which leads to the errors of CFS method; The PFS method is based on the Ricker shape assumption but the peak frequency is susceptible to noises, which causes instability. Combining the two methods, we modified the expression of Q based on the two methods and applied it to the oil and gas prediction. This modified expression of Q has the advantages of both CFS and PFS, so it has both high precision and strong stability. Validated by models with different signal-to-noise ratios (SNR), it is applied to real hydrocarbon prediction. The results indicate that the modified Q attribute is highly consistent with well data and more suitable for oil and gas prediction.
Presentation Date: Monday, September 16, 2019
Session Start Time: 1:50 PM
Presentation Time: 3:05 PM
Presentation Type: Oral
|File Size||601 KB||Number of Pages||5|
Gurevich,B., andR.Pevzner,2015,How frequency dependency of Q affects spectral ratio estimates:Geophysics,80,no.2,A39–A44,doi:10.1190/geo2014-0418.1.
Li,C., andX.Liu,2015,A new method for interval Q-factor inversion from seismic reflection data:Geophysics,80,no.6,R361–R373,doi:10.1190/geo2014-0446.1.
Li,C. H., andX. W.Liu,2016,An improved method for Q-factor estimates based on the frequency-weighted-exponential function:Journal of Applied Geophysics,134,153–158,doi:10.1016/j.jappgeo.2016.09.005.
Quan,Y., andJ. M.Harris,1997,Seismic attenuation tomography using the frequency shift method:Geophysics,62,895–905,doi:10.1190/1.1444197.
Ricker,N.,1953,The form and laws of propagation of seismic wavelets:Geophysics,18,10–40,doi:10.1190/1.1437843.
Wang.Y.,2015,Frequencies of the ricker wavelet:Geophysics,80,no.2,A31–A37,doi:10.1190/geo2014-0441.1.
Wang,Q.,J.Gao,H.Li,N.Liu,2016,Q estimation with improved frequency-shift method based on generalized seismic wavelet:86th Annual International Meeting, SEG,Expanded Abstracts,3016–3020,doi:10.1190/segam2016-13880847.1.
White,R.,1992,The accuracy of estimating Q from seismic data:Geophysics,57,1508–1511,doi:10.1190/1.1443218.
Zhang,C. J., andT. J.Ulrych,2002,Estimation of quality factors from CMP records:Geophysics,67,1542–1547,doi:10.1190/1.1512799.