Bootstrapping AVA for Uncertainty Assessment in Lithology and Fluid Identification

F009 BOOTSTRAPPING AVA FOR UNCERTAINTY ASSESSMENT IN LITHOLOGY AND FLUIDS IDENTIFICATION Abstract 1 We present a methodology for estimating an important source of uncertainty when using AVA for lithology and fluids prediction. The main idea is to bootstrap the regression between seismic amplitudes and incidence angle and perform a statistical classification of the computed AVA attributes. Moreover the proposed method specifically applying a regression that minimizes the median of squared residuals can be used as an automatic tool for detecting data inconsistencies. As an example the method was applied to a real data set from the Glitne field in North