Numerical simulation of water-alternating-gas (WAG) injection - best practices
Abstract
To reliably predict the water-alternating-gas (WAG) injection performance, a
transformational shift in the modelling of the WAG process is needed. Therefore, this
thesis focused on identifying the shortcomings of the current reservoir simulators and
suggesting a new methodology to improve the simulation prediction of WAG injection
performance. To achieve this, several core-scale WAG injection experiments were
analysed to identify trends and behaviours. Furthermore, these experiments were
simulated using ECLIPSE-100 to identify the limitations of the current commercial
simulators. Based on these exercises, a new methodology to improve the modelling
process of WAG injection cycles using the current simulation capabilities were suggested.
The results of five unsteady-state water-alternating-gas injection experiments performed
by various researchers, from Heriot-Watt University, at different conditions were used in
this simulation study. These WAG injection core-flood experiments were analysed and
simulated using the new approach. The simulation of the five different WAG injection
experiments confirmed the positive impact of updating the WAG-hysteresis parameters
in the later WAG injection cycles. This change significantly improved the match between
simulation and WAG experimental results.
Therefore, a systematic workflow to acquire the relevant data and analyse them to
generate the input parameters required for WAG injection simulation has been suggested.
In addition, a logical procedure was suggested to update the simulation model after the
third injection cycle as a workaround to overcome the limitation in the current commercial
simulators. This guideline can be incorporated in the numerical simulators to help the
industry in improving the accuracy of WAG injection simulation using the current
simulation capabilities.