HR: 16:20h
AN: NS34A-01 INVITED     [Abstracts]
TI: Seismic Reservoir Characterization
AU: * Sen, M K
EM: mrinal@ig.utexas.edu
AF: University of Texas Institute for Geophysics , J. J. Pickle Campus, Bld 196 10100 Burnet Road, Austin, TX 78758-4445, United States
AB: Seismic inversion results in elastic parameter estimates that need to be mapped to reservoir properties such as porosity and permeability. This mapping is not trivial. In addition the seismic inversion results in non-unique estimates of elastic parameter attributes. Judicial choice of prior based on well logs is essential to address both the issues. Care must be taken to not introduce any bias. It is easy to match the inversion results to well logs simply by putting hard constraints to prior. However this may result in erroneous mapping away from wells. We applied several methods of seismic inversion to a single dataset to study the effects of data domain, forward modelers, scales and prior on the resulting models. Stable mapping of seismic attributes to flow attributes is the key to effective reservoir model building (Young 2007). Although determinsiting mapping is a common practice, a prbabilistic mapping offers several advantages. Although the current methods assume locally 1D model, their extension to laterally varying media is currently being investigated. Young, R., 2007, Porosity estimation from 3D seismic data, unpublished MS thesis, The University of Texas at Austin
DE: 1859 Rocks: physical properties
DE: 3260 Inverse theory
SC: Near-Surface Geophysics [NS]
MN: 2007 Joint Assembly