Attribute Analysis in Reservoir Characterization and Discrimination, a Case Study of Y-Field, Niger Delta Basin, Nigeria
Keywords:
Seismic attributes, Arc length, Root mean square (RMS), Average energy and Half energyAbstract
Various parameters have been used in reservoir characterization, among them is the use of multiple attribute approach in which various seismic attributes of significance linked with various petrophysical properties were utilized to study the characteristics of Y-field reservoirs in Niger Delta basin. The study aims to identify the various hydrocarbon-bearing units for production optimization. Different attributes were extracted from the seimic amplitude data using relevant quantitative models. The study revealed that differences in Extract value indicated variation in background amplitude, Arc length variation responds to lithologic heterogeneity. Average amplitude and RMS revealed the presence or effect of hydrocarbon or geological structures or both, while Average energy and Maximum amplitude showed hydrocarbon presence only. Half energy revealed porous regions, Positive to negative ratio was able to define the reservoir thicknesses while net-to-sand ratio were revealed by Sum of magnitude maps. The study concluded that multiple attribute study can serve as critical tools for reservoir characterisation.