The scarcity of fresh water in most of the countries in the Mediterranean Basin makes desalinated seawater a valuable alternative water source. It is therefore imperative to develop and adaptreverse osmosis (RO) methods to minimize water production expenses. Management modeling allows identifying preferable directions of implementation. Usually, desalination depends on a combination of a series of controlling parameters. These include feed water quality; required resulting qualities; and operational conditions determined by the membrane characteristics, flux and operating pressure head. Frequently it is difficult to select the best membrane for the RO process due to the complexity of the processes and the abundance of information that is provided by the membrane manufacturers. Taking available data (from RO membrane manufacturer catalogues) enables defining clusters of parameters with similar properties for improved control of the desalination process. According to the analysis, it was shown that there is a similar parameterization between the Silt Density Index (SDI) and the membrane flow rate. Other clusters were found as well. This analysis can be further developed into larger clusters leading to distinguishing two major facets: (1) the permeate and (2) RO membrane rejection; each includes several parameters. This showed that corresponding managing tools can simplify the membrane selection process and ultimately diminish production expenses.