--> Statistically Improved Resistivity and Density Estimation From Multicomponent Seismic Data: Case Study From the Lower Cretaceous McMurray Formation, Athabasca Oil Sands
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Statistically Improved Resistivity and Density Previous HitEstimationNext Hit From Multicomponent Seismic Data: Case Study From the Lower Cretaceous McMurray Formation, Athabasca Oil Sands

Abstract

We present a case study of oil sands reservoir characterization using resistivity and density seismic volumes estimated from multicomponent seismic data. Both inversion volumes have been evaluated and improved with new statistical methods. The Lower Cretaceous McMurray Formation reservoir in this study is located in the Athabasca Oil Sands region of the Western Canadian Sedimentary Basin of Alberta. For this study, we imaged the reservoir heterogeneity by integrating high resolution multicomponent 3D seismic data with core information and well data. The workflow for density and resistivity seismic Previous HitestimationTop from inversion of multicomponent seismic data was previously presented by Dumitrescu* et al (2014) and Mayer** et al (2014). Key problems solved include excellent pay characterization, correct flank water mapping and accurate identification of high versus low oil saturation in zones with high salinity bitumen sand. However, we wanted to improve our accuracy in estimating the bitumen sand and we turned to geostatistical methods which provide a useful tool for geophysical data integration. We will present how we improved the density and resistivity seismic volumes using new statistical methods.