Predicting reservoir petrophysical geobodies from seismic data using enhanced extended elastic impedance inversion

HIGHLIGHTS

  • who: Eko Widi Purnomo and colleagues from the Center for Subsurface Imaging (CSI), Universiti Teknologi Petronas, Seri Iskandar, Malaysia have published the paper: Predicting Reservoir Petrophysical Geobodies from Seismic Data Using Enhanced Extended Elastic Impedance Inversion, in the Journal: (JOURNAL)
  • what: The study aims to implement a high-resolution (EEI) inversion to estimate the petrophysical properties (e_g porosity saturation and volume of shale) from seismic and well log data. In this paper, AI and GI are obtained by solving simultaneously the two-term AVO equation for two (near and far) angles of stacks. Figure 7d . . .

     

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