A method, comprising: obtaining acoustic pressure data associated with a leak source in a wellbore using at least one acoustic sensor positioned in the wellbore, the acoustic pressure data being obtained as a function of time for a specified time period; parsing the acoustic pressure data into a plurality of data segments, each of the plurality of data segments corresponding to one of a plurality of non-overlapping time windows of the specified time period; averaging , with one or more processors, the acoustic pressure data from different windows of the plurality of non-overlapping time windows; determining , with the one or more processors, a flow rate of the leak source using the averaged acoustic pressure data and an area of the leak source using the flow rate of the leak source, wherein the flow rate is determined using a plurality of terms representing different sources of sound generation, wherein each of the plurality of terms includes a different predetermined coefficient, and wherein the plurality of terms includes a first term indicating a fluctuation of mass flow rate through the leak source, a second term indicating a fluctuation of shear stresses through the leak source, a third term indicating a mixing of fluids after a leaking fluid exits the leak source, a fourth term indicating a broad-banded shock associated noise, a fifth term indicating a noise-source efficiency effect of thin orifices with sharp edges, a sixth term indicating a noise source efficiency for other specific geometry of the leak source, and a seventh term indicating an empirical correction to the determined flow rate; and generating , with the one or more processors, a representation of the leak source using the flow rate and the area of the leak source. obtaining acoustic pressure data associated with a leak source in a wellbore using at least one acoustic sensor positioned in the wellbore, the acoustic pressure data being obtained as a function of time for a specified time period; parsing the acoustic pressure data into a plurality of data segments, each of the plurality of data segments corresponding to one of a plurality of non-overlapping time windows of the specified time period; averaging , with one or more processors, the acoustic pressure data from different windows of the plurality of non-overlapping time windows; determining , with the one or more processors, a flow rate of the leak source using the averaged acoustic pressure data and an area of the leak source using the flow rate of the leak source, wherein the flow rate is determined using a plurality of terms representing different sources of sound generation, wherein each of the plurality of terms includes a different predetermined coefficient, and wherein the plurality of terms includes a first term indicating a fluctuation of mass flow rate through the leak source, a second term indicating a fluctuation of shear stresses through the leak source, a third term indicating a mixing of fluids after a leaking fluid exits the leak source, a fourth term indicating a broad-banded shock associated noise, a fifth term indicating a noise-source efficiency effect of thin orifices with sharp edges, a sixth term indicating a noise source efficiency for other specific geometry of the leak source, and a seventh term indicating an empirical correction to the determined flow rate; and generating , with the one or more processors, a representation of the leak source using the flow rate and the area of the leak source. <EOS>