We apply an extended elastic impedance (EEI) inversion for quantitative reservoir characterization. The EEI approach is applied to both on-shore and off-shore seismic data where target reservoirs are gas-bearing sands located in sand-shale sequences. The workflow we adopt can be divided in three phases. The starting point is a petrophysical analysis in which the relationships between petrophysical and elastic properties are studied. The second step of extended elastic impedance (EEI) analysis uses a cross-correlation procedure to determine the best chi (?) projection angles for the petrophysical parameters of interest (i.e. porosity, water saturation and shaliness). In the final step, pre-stack seismic data are simultaneously inverted into P-wave velocity, acoustic, and gradient impedances, and the last two elastic volumes are finally projected to ? angles corresponding to the target petrophysical parameters. The estimated porosity, water saturation, and shaliness values reveal a proper match at blind well locations. This work shows that extended elastic impedance is an effective way for lithology and fluid differentiation in clastic reservoirs. The output of this work can be beneficial for static reservoir model building and volumetric calculation and can be also used to determine new potential drilling locations.
Extended Elastic Impedance Inversion Applied to On-Shore and Off-Shore Seismic Data for Reservoir Characterization
Aleardi M.
;Ciabarri F.
2018-01-01
Abstract
We apply an extended elastic impedance (EEI) inversion for quantitative reservoir characterization. The EEI approach is applied to both on-shore and off-shore seismic data where target reservoirs are gas-bearing sands located in sand-shale sequences. The workflow we adopt can be divided in three phases. The starting point is a petrophysical analysis in which the relationships between petrophysical and elastic properties are studied. The second step of extended elastic impedance (EEI) analysis uses a cross-correlation procedure to determine the best chi (?) projection angles for the petrophysical parameters of interest (i.e. porosity, water saturation and shaliness). In the final step, pre-stack seismic data are simultaneously inverted into P-wave velocity, acoustic, and gradient impedances, and the last two elastic volumes are finally projected to ? angles corresponding to the target petrophysical parameters. The estimated porosity, water saturation, and shaliness values reveal a proper match at blind well locations. This work shows that extended elastic impedance is an effective way for lithology and fluid differentiation in clastic reservoirs. The output of this work can be beneficial for static reservoir model building and volumetric calculation and can be also used to determine new potential drilling locations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
