Integration of Lithological Data for Advanced Seismic Inversion

Recent advances in seismic inversion have made it possible to integrate geophysical Elasto-Facies Associations (EFAs) into a more sophisticated workflow that allows for improved reservoir characterization. However, performing inversion still requires well data for the calibration of low frequency input models. Innovative solutions are therefore required to provide sufficient input data in areas where only low quality well data is available, if at all. A new workflow is proposed for the integration of data from additional sources in order to provide an improved facies-aware seismic inversion, flexible enough to support a range of data types to constrain the low frequency model inputs, yet robust enough to honour geological and geophysical properties. This revolutionary method offers the potential make more precise reservoir characterization accessible in spite of well data limitations.