optimization of the cost function in the drilling of oil well network by balas algorithm

the most costly operation in the oil exploration is the well network drilling. one of the most effectiveways to reduce the cost of drilling networks is decreasing the number of the required wells byselecting the optimum situation of the rig placement. in this paper, balas algorithm is used as a modelfor optimizing the cost function in oil well network, where the vertical and directional drilling isperformed. the model can determine optimal well placement as well as optimal paths to develop thefield. the proposed model is implemented in an iran southern gas field with five drilling rigs used todrill 44 wells from 14 positions on the surface. the results show a 17.4% reduction compared to theproposed cost.