Conditioning a Stochastic Model of Fluvial Channel Reservoirs Using Seismic and Well Data

Fluvial reservoirs are highly heterogeneous and comprise a complex network of channel-like bodies. To optimise the development of these reservoirs it is important to model the channel distribution between well observations in a realistic manner, and stochastic modelling techniques are becoming increasingly applied for this purpose. This paper presents a stochtastic method where seismic data are used to constrain the modelled spatial distribution of channels between wells.