Evaluation of the sensitivity of seismic inversion algorithms to different wavelets
Victor Martins Gomes1; Marco Antonio Cetale Santos1; Rodrigo Bird Burgos2; Djalma Manuel Soares Filho3
1 UFF; 2 UERJ; 3 Petrobras
doi:10.20906/CPS/CILAMCE2015-0731
Resumo
Seismic wavelet estimation is an important step in processing and analysis of seismic data. Inversion methods as Narrow band and Sparse spike require information about it so that the inversion solution, once it is not unique, may be restricted by comparing the real seismic trace with the synthetic generated by convolution of the estimated reflectivity and wavelet. Besides helping in seismic inversion, a good estimate of the wavelet enables an inverse filter with less uncertainty to be produced in the deconvolution step and while tying well logs, a better correlation between the seismic trace and well log. Depending on the use or not of well log information, the methods of wavelet estimation can be divided into two classes: statistical and deterministic. This work aimed to test the sensitivity of seismic inversion algorithms to different wavelets. An analysis of the wavelets estimated with two methods and the inversion results allows one to relate the uncertainty in the estimated wavelet and in the inversion results. All methods used here were implemented in MATLAB and synthetic data were used.
Palavras-chave: Seismic wavelet estimation; Seismic inversion; Narrow band; Sparse spike