A computer-implemented method for performing multi-parametric production optimization in fracture-stimulated gas condensate reservoirs, the method comprising: defining a class of reservoir models in which each model enables phase transition between oil and gas in the fracture-stimulated gas condensate reservoirs, by combining for each reservoir model: simulated fracture geometry comprising a fracture-stimulated gas condensate reservoir volume; and accounting for fluid dynamics and phase transitions in the simulated fracture-stimulated gas condensate reservoir volume for modeling production in a plurality of reservoirs associated with the fracture-stimulated gas condensate reservoir volume; generating, based on modelling of at least one reservoir model from the class of reservoir models, an objective function relating fracture parameters to the production in the plurality of reservoirs associated with the fracture-stimulated gas condensate reservoir volume; determining, based on the objective function, two or more fracture parameters related to fracture stages of a fracture network in a reservoir of the plurality of reservoirs, wherein the two or more fracture parameters comprise a fracture spacing and a fracture length; and communicating, via a computer network to a computing device, the determined two or more fracture parameters to be used for at least one of building or operating the fracture network in a reservoir of the plurality of reservoirs associated with the fracture-stimulated gas condensate reservoir; wherein determining the two or more fracture parameters comprises: performing production analysis of the fracture network for fracture stimulated production in the gas condensate reservoirs; and optimizing the objective function related to the production in the plurality of reservoirs by choosing a plurality of combinations of the fracture parameters for calculating the objective function, and determining the two or more fracture parameters as a combination of the plurality of combinations that maximizes the objective function; or determining, in an iterative manner, a maximum of the objective function related to the production in the plurality of reservoirs by using a constrained optimization method for choosing a plurality of combinations of the fracture parameters, and determining the two or more fracture parameters as a combination of the plurality of combinations that provide the maximum of the objective function. defining a class of reservoir models in which each model enables phase transition between oil and gas in the fracture-stimulated gas condensate reservoirs, by combining for each reservoir model: simulated fracture geometry comprising a fracture-stimulated gas condensate reservoir volume; and accounting for fluid dynamics and phase transitions in the simulated fracture-stimulated gas condensate reservoir volume for modeling production in a plurality of reservoirs associated with the fracture-stimulated gas condensate reservoir volume; simulated fracture geometry comprising a fracture-stimulated gas condensate reservoir volume; and accounting for fluid dynamics and phase transitions in the simulated fracture-stimulated gas condensate reservoir volume for modeling production in a plurality of reservoirs associated with the fracture-stimulated gas condensate reservoir volume; generating, based on modelling of at least one reservoir model from the class of reservoir models, an objective function relating fracture parameters to the production in the plurality of reservoirs associated with the fracture-stimulated gas condensate reservoir volume; determining, based on the objective function, two or more fracture parameters related to fracture stages of a fracture network in a reservoir of the plurality of reservoirs, wherein the two or more fracture parameters comprise a fracture spacing and a fracture length; and communicating, via a computer network to a computing device, the determined two or more fracture parameters to be used for at least one of building or operating the fracture network in a reservoir of the plurality of reservoirs associated with the fracture-stimulated gas condensate reservoir; performing production analysis of the fracture network for fracture stimulated production in the gas condensate reservoirs; and optimizing the objective function related to the production in the plurality of reservoirs by choosing a plurality of combinations of the fracture parameters for calculating the objective function, and determining the two or more fracture parameters as a combination of the plurality of combinations that maximizes the objective function; or determining, in an iterative manner, a maximum of the objective function related to the production in the plurality of reservoirs by using a constrained optimization method for choosing a plurality of combinations of the fracture parameters, and determining the two or more fracture parameters as a combination of the plurality of combinations that provide the maximum of the objective function.