A computer-implemented method of map based assessment of waterflood, the method comprising: generating a water injection influence map by mapping one or more connectivity parameters derived from a capacitance resistance model; calculating a recovery factor and pore volumes injected for each injector influence region in one or more influence regions defined from the one or more connectivity parameters; determining a maximum of the recovery factor versus the pore volume injected using a curve fit extrapolation, for each influence region; determining a number of injectors needed based on recovery factor versus pore volumes injected data, for each influence region; calculating a voidage replacement ratio within each injector influence region; determining a target voidage replacement ratio by selecting an average voidage replacement ratio with a most recent interval of time, the target voidage replacement ratio corresponding to a ratio between a volume of oil produced and a volume of water injected; and determining a number of infill wells with drilling schedule to maintain the determined target voidage replacement ratio, wherein determining the number of infill wells with drilling schedule to maintain the determined target voidage replacement ratio comprises: adding the number of injectors obtained from the recovery factor versus pore volumes injected data for each influence region to a production profile for that influence region; adding producers through time while maintaining target voidage replacement ratio in each influence region; and iterating between adding injectors and adding producers while maintaining target voidage replacement ratio in each influence region until the number of infill wells honors the target voidage replacement ratio. generating a water injection influence map by mapping one or more connectivity parameters derived from a capacitance resistance model; calculating a recovery factor and pore volumes injected for each injector influence region in one or more influence regions defined from the one or more connectivity parameters; determining a maximum of the recovery factor versus the pore volume injected using a curve fit extrapolation, for each influence region; determining a number of injectors needed based on recovery factor versus pore volumes injected data, for each influence region; calculating a voidage replacement ratio within each injector influence region; determining a target voidage replacement ratio by selecting an average voidage replacement ratio with a most recent interval of time, the target voidage replacement ratio corresponding to a ratio between a volume of oil produced and a volume of water injected; and determining a number of infill wells with drilling schedule to maintain the determined target voidage replacement ratio, wherein determining the number of infill wells with drilling schedule to maintain the determined target voidage replacement ratio comprises: adding the number of injectors obtained from the recovery factor versus pore volumes injected data for each influence region to a production profile for that influence region; adding producers through time while maintaining target voidage replacement ratio in each influence region; and iterating between adding injectors and adding producers while maintaining target voidage replacement ratio in each influence region until the number of infill wells honors the target voidage replacement ratio. adding the number of injectors obtained from the recovery factor versus pore volumes injected data for each influence region to a production profile for that influence region; adding producers through time while maintaining target voidage replacement ratio in each influence region; and iterating between adding injectors and adding producers while maintaining target voidage replacement ratio in each influence region until the number of infill wells honors the target voidage replacement ratio.