Estimating Structural Uncertainties in Seismic Images Using Equi-probable Tomographic Model
J. Messud, P. Guillaume and G. Lambaré
Event name: 79th EAGE Conference and Exhibition 2017
Session: Velocity Model Estimation - Theory I
Publication date: 12 June 2017
Info: Extended abstract, PDF ( 1.17Mb )
Price: € 20
Assessing the uncertainty of the structural information contained in seismic images is critical for reservoir risk analysis, namely reservoir delineation, reserve estimation, and well planning. We propose here a distinctive approach aimed at assessing structural uncertainties associated with ray-based tomography. While it has some similarities with previously published approaches, it is based on the random generation of equi-probable tomographic models rather than on randomly sampling the a posteriori “probability density function”. Moreover it is associated with non-linear slope tomography which allows consideration of some non-linear aspects of the problem. We believe these two aspects offers significant advantages in terms of efficiency and accuracy. In this paper we carefully review the concepts and definitions (in particular the notions of confidence region and error bars), and then present our approach and discuss its advantages. We finally present an application to a North Sea dataset where we estimate structural error bars for a target horizon.