Volcanic Rock Estimation and Uncertainty Evaluation from Surface and Crosswell Seismic Data

In this paper we propose a methodology for the evaluation of the uncertainty associated to petrophysical properties estimation from seismic, analyzing different sources of uncertainty and different types of seismic data. The proposed methodology is based on a full bayesian approach to the inversion from seismic to petrophysics and it is divided into three steps: elastic inversion, probabilistic upscaling and petrophysical properties estimation by means of statistical rock physics models integration. We verify the validity of the methodology and the reliable propagation of estimated properties uncertainty using real well logs and synthetic seismic. Finally we apply the workflow to evaluate the uncertainty associated to lithological properties in an oil clastic reservoir in North Africa, using well logs and seismic data coming from different sources: surface and crosswell seismic.