Stochastic Multi-attribute Analysis for Characterisation of Stacked Clastics-carbonate Reservoir
M. Jaya, D. Liuzzi, R. Keen and B. Hartstra
Event name: 77th EAGE Conference and Exhibition 2015
Session: Seismic Reservoir Characterization II
Publication date: 01 June 2015
Info: Extended abstract, PDF ( 3.42Mb )
Price: € 20
The goal of the study is to characterize the seismic signatures of a field located in the West African Basin. The characterization aims to derive the porosity properties from the integrated deterministic (post-stack) inversion and stochastic multi-attribute analysis. The field has two continuous formations of interest. The uppermost formation (Fm A) consists on clastic sediments from shallow marine deposits. The second formation (Fm B) is dominated by limestones and dolomites intercalated with medium-low consolidated sandstones and variably thick beds of micritic limestone and shale layers. The degree of dolomitization varies laterally and vertically which is responsible for the reservoir heterogeneity. Despite vertical resolution limitations, seismic inversion provides useful information for predicting lateral variations in reservoir quality, not accessible directly through the well data. The heterogeneous impedance values in Fm B zone can be related with the observed degree of dolomitization which is responsible for the heterogeneity of the formation. The distribution of impedance and porosity at different level of formation zones can help quantify the heterogeneity of the reservoir architecture and the corresponding reservoir potential for the field development.