In seismic history matching, we (the authors) obtained a computer-assisted
history match to conventional production data but also include the
spatio-temporal information offered by time-lapse (4D) seismic to further
constrain the model. Good predictive models can only be found with a suitable
search of the space of uncertain parameters, such as permeability, porosity,
net: gross, and fault transmissibility.
We present a method of history matching that speeds up the search process.
By using streamlines in place of a finite difference simulator, a factor 10
speed up in simulation can be obtained. The model accuracy is slightly
diminished, affecting both the predicted well data along with saturations and
pressures used to predict the 4D signal. We show how to reduce any bias effects
by calibrating the model error and including it in the misfit calculation.
The method has been applied to the United Kingdom Continental Shelf (UKCS)
Nelson field using 6 years of production history and 2 seismic surveys. The
field is maintained above bubble point and is ideal for streamline simulation.
We compared the use of the finite difference simulator with the streamline
method in history matching, when we changed net:gross and vertical permeability
properties. By addressing the mismatch in seismic data, together with
production, we improved our predictive capability.
A proper parameter search increases the reliability of predictions made by
using simulations and has great benefits for reservoir management. Decisions
regarding water and gas handling, well maintenance, and optimization of
production can be made with greater confidence and new wells can be planned
with reduced risk.
© 2009. Society of Petroleum Engineers
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- Original manuscript received:
18 February 2007
- Meeting paper published:
11 June 2007
- Revised manuscript received:
25 August 2008
- Manuscript approved:
25 January 2009
- Published online:
31 July 2009
- Version of record:
9 September 2009