Wells and Seismic data are the most common sources of information used to characterize reservoirs in the oil and gas industry. The traditional role assigned to seismic inversion is to combine these data with prior geological knowledge in order to provide the most relevant image of the reservoir which will enable the best possible reservoir management.
Unfortunately, our data are sparse, have a limited resolution and are uncertain, therefore, what we should be looking at, is more to provide a set of realizations of the reservoir that covers the range of possibilities, than solely to produce the “best” possible image.
I will focus on the elastic inversion process applied to 3D & 4D data which extracts elastic parameters from seismic data and well information and I will examine what are the key factors that influence the inversion results.
I will show on various 3D & 4D examples of different geological contexts what are the main sources of uncertainties and what are their real impact on Reservoir Characterization.
AAPG Datapages/Search and Discovery Article #90260 © 2016 AAPG/SEG International Conference & Exhibition, Cancun, Mexico, September 6-9, 2016