We solve a problem of optimal control of wells on a condensate 4eld. The problem is de4ned as follows: maximize condensate recovery subject to (selected) well group rate, while individual well rates to are unknown. This problem could be solved using existing oil4eld & gas4led industry standard simulators. However, the use of these simulators and underlying optimization procedures require a lot of simulation runs.Even for the small number of wells (about 10) it may lead to suIcient simulation time consumption for solving this optimization problem. We propose a method to signi4cantly reduce the total simulation time, allowing to 4nd almost (within a given tolerance) optimal solutions. This time reduction is achieved by swapping the criteria of condensate recovery maximization to the criteria of minimizing maximal well pressure draw-down. Furthermore, this method allows to take into account well-to-well inLuence by introducing additional equations. All that allow to convert the initial problem to a problem of solving a system of linear equations. We show an example for a test case with 4ve wells. With a simulator we get an optimal solution within 2.5 days; using our algorithm, we got a condensate recovery 0.5% less than optimal within 2 hours.