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