Rock Property Volume Estimation Using the Multi-attribute Rotation Scheme (MARS) - Case Study in the South Falkland Basin

This paper shows a case study where a seismic reservoir characterization was carried out by integrating well-log and seismic inversion data through the application of the multi-attribute rotation scheme (MARS) methodology ( Alvarez et al., 2015 ). MARS is a hybrid rock-physics/statistical approach designed to yield the optimum seismic inversion attribute correlation to target reservoir properties. The method performs a comprehensive assessment and selection of all possible attribute combinations, ensuring the optimum rock-property calibration for each geologic condition within a given data-set of seismic and well information. This workflow was applied on the Darwin Field, located in the South Falkland Basin. The Darwin structure comprises two adjacent tilted fault blocks: Darwin East, which contains the discovery well 61/17-1, and Darwin West, which remains untested ( Farrer and Rudling, 2015 ). From this workflow customized transforms were found from the well-log data to estimate reservoir properties from seismically-derived elastic attributes. The resultant rock property volumes (Sw, Vclay and total porosity.) characterize the reservoir’s heterogeneity, and can be used as inputs for static model generation, reserve estimation, as well as to optimize the exploration, and exploitation plan in the area.