2019_EJRNL_PP_PARDEEP_SANGWAN_1.pdf
Terbatas 
» ITB
Terbatas 
» ITB
Conventional spectral ratio method for estimating Seismic Quality factor (Q) involves log-linearization
and least square fitting, which is very sensitive to noise. In this work we have proposed a new approach to
spectral ratio method, where the seismic quality factor is estimated by non-linear inversion of spectral
ratios using Levenberg-Marquardt (LM) method. The efficacy of the proposed methodology has been
tested on synthetic and real VSP datasets. Both conventional log-spectral ratio method (LSR)and
nonlinear optimization method (LM) could effectively estimate the Q model for datasets having good
signal to noise ratio. Numerical tests indicated that with increase in noise floor LM method provided more
accurate and stable results. Application on real VSP dataset having high S/N ratio revealed that the
estimated Q models using both the approaches are almost similar. Results demonstrate a reasonable
correlation of Q model in sand-shale sequence and low Q values around 69 in gas reservoir