Title of article :
Simulation optimization of water-alternating-gas process under operational constraints: A case study in the Persian Gulf
Author/Authors :
Sadeghnejad, S. Department of Petroleum Engineering - Faculty of Chemical Engineering - Tarbiat Modares University, Tehran, Iran , Manteghian, M. Department of Petroleum Engineering - Faculty of Chemical Engineering - Tarbiat Modares University, Tehran, Iran , Rouzsaz, H. Department of Petroleum Engineering - Faculty of Chemical Engineering - Tarbiat Modares University, Tehran, Iran
Abstract :
The optimization of the effciency of Water Alternating Gas (WAG) ooding projects can guarantee the success of these projects. Many operational constraints can
indirectly affect ooding effciency. Their effects are not normally considered during routine optimizations. The main aim of this study is to determine the in
uence of these constraints (e.g., maximum water-cut, maximum Gas-Oil Ratio (GOR), and minimum Bottom Hole Pressure (BHP) during the WAG process). Implementing a reservoir simulator coupled
with Simulating-Annealing (SA) enables us to discover the eects of these constraints during
simulation optimization. The developed optimizer is applied to a case study from an Iranian
formation located in the Persian Gulf. The recovery factor of WAG ooding is compared with that of the conventional water ooding and gas injection. Moreover, the optimization of individual and simultaneous WAG parameters is analyzed. Results indicate that: (a)
Operational constraints can not only alter the production mechanism but also directly affect
the ultimate recovery factor; (b) The recovery factor of simultaneous optimization of all WAG parameters is higher than that of individual parameter optimization; (c) Irrespective of the approach to parameter optimization, WAG ratio (or the volume fraction of injected water to gas) remains almost constant during all optimizations, showing the in uence of this parameter during WAG ooding scenarios.
Keywords :
Water-Alternating- Gas (WAG) , EOR , Optimization , Simulated annealing , Operational constraints.
Journal title :
Scientia Iranica(Transactions C: Chemistry, Chemical Engineering)