Hydrocarbon Detection Using Anisotropy Parameter Calculated by Tomographic Inversion of P-, SH- And SV-waves of Crosswell Seismic Data
We detected hydrocarbon by studying anisotropy parameter integrated with reservoir characterization using a set of crosswell seismic, well log and surface seismic data. We employed non-linear tomographic inversion technique to invert the traveltimes picked from P-, SH- and SV-waves. Anisotropy parameter were estimated by Shear Wave Splitting method of SH- and SV- waves. Poisson’s ratio is calculated based on VP and VS. A crossplot of VP/VS – Poisson’s ratio was used to predict the hydrocarbon phase on the observation target. And a 3-D crossplot was used to locate the depth of the reservoir layers containing hydrocarbon. We validated the gas case reservoirs with well data. In our study, the sand reservoirs with gas case on the crossplot of VP/VS – Poisson’s ratio is correlated to the anisotropy value. We conclude that anisotropy can be used as attribute to characterize hydrocarbon reservoir. The studied anisotropy is correlated to reservoir containing hydrocarbon.
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