A computer-implemented method of evaluating waterflood injection at a subsurface hydrocarbon reservoir into which one or more producing wells (P1, P2, P3, P4, P5, P6, P7) and one or more injecting wells (I1, 12, 13, 14, I5) have been drilled, comprising the steps of: receiving measurement data over time corresponding to flow rates at one or more producing wells and one or more injecting wells; characterized by: from the received measurement data, identifying a plurality of associations between one of the producing wells (P1, P2, P3, P4, P5, P6, P7) and one of the injecting wells (I1, I2, I3, I4, I5), each of the identified associations having a measure of strength of association; rank ordering the identified associations according to strength of association; applying one or more of the highest-ranked associations to a capacitance- resistivity reservoir model; evaluating the capacitance-resistivity reservoir model relative to the measurement data to derive a set of model parameters and an associated uncertainty statistic; applying a next one or more of the associations, selected according to the rank ordering of the associations, to the capacitance-resistivity reservoir model; evaluating the capacitance-resistivity reservoir model, with the applied next one or more of the interconnections, relative to the measurement data, to derive a set of model parameters and an associated uncertainty statistic; and repeating the steps of applying a next one or more of the interconnections and evaluating the capacitance-resistivity reservoir model with the applied next one or more of the interconnections, until the uncertainty statistic reflects similarity of the model parameters from the most recent evaluating step and the model parameters from a prior evaluating step, to a selected statistical significance. receiving measurement data over time corresponding to flow rates at one or more producing wells and one or more injecting wells; from the received measurement data, identifying a plurality of associations between one of the producing wells (P1, P2, P3, P4, P5, P6, P7) and one of the injecting wells (I1, I2, I3, I4, I5), each of the identified associations having a measure of strength of association; rank ordering the identified associations according to strength of association; applying one or more of the highest-ranked associations to a capacitance- resistivity reservoir model; evaluating the capacitance-resistivity reservoir model relative to the measurement data to derive a set of model parameters and an associated uncertainty statistic; applying a next one or more of the associations, selected according to the rank ordering of the associations, to the capacitance-resistivity reservoir model; evaluating the capacitance-resistivity reservoir model, with the applied next one or more of the interconnections, relative to the measurement data, to derive a set of model parameters and an associated uncertainty statistic; and repeating the steps of applying a next one or more of the interconnections and evaluating the capacitance-resistivity reservoir model with the applied next one or more of the interconnections, until the uncertainty statistic reflects similarity of the model parameters from the most recent evaluating step and the model parameters from a prior evaluating step, to a selected statistical significance.