Method for
Conditioning the Reservoir Model on 3D and 4D Elastic Inversion Data Applied to
a Fluvial Reservoir in the
Andersen, T.1, K. Hatland1,
Trond Hoye1, F. Liestol1, G. Mangeroy1, Hilde
C. Meisingset1, C. Otterlei1, Eli Zachariassen1,
Art Jan Wijngaarden2 (1) Norsk Hydro,
A work flow to improve the modeling of a
fluvial reservoir is presented. Modeling of fluvial reservoirs can be very
uncertain when only conditioned to well data. By utilising 3D and 4D seismic
inversion data to condition the geological model, the uncertainty in the facies
distribution is reduced. Cross plot of 3D elastic inversion data predicts
facies better than acoustic impedance data or Vp/Vs data individually. By
including 4D elastic inversion data, the correlation between the classified
facies from seismic and the facies zonation in the wells, is further improved.
A sand probability cube is computed from 3D and 4D elastic inversion data, and
used to condition the geological model of the fluvial reservoir. Upscaling and
flow simulation are carried out on a set of realizations. This results in a
range of simulated production profiles. The dynamic information I the 4D
seismic is then used to rank the realizations by comparing the real 4D data
with forward modeled elastic parameters from the flow simulation model.
AAPG Search and Discover Article #90063©2007 AAPG Annual Convention, Long Beach, California