The scarcity of fresh water in most of the countries in the Mediterranean B
asin makes desalinated seawater a valuable alternative water source. It is
therefore imperative to develop and adaptreverse osmosis (RO) methods to mi
nimize water production expenses. Management modeling allows identifying pr
eferable directions of implementation. Usually, desalination depends on a c
ombination of a series of controlling parameters. These include feed water
quality; required resulting qualities; and operational conditions determine
d by the membrane characteristics, flux and operating pressure head. Freque
ntly 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 pr
ovided by the membrane manufacturers. Taking available data (from RO membra
ne manufacturer catalogues) enables defining clusters of parameters with si
milar properties for improved control of the desalination process. Accordin
g to the analysis, it was shown that there is a similar parameterization be
tween the Silt Density Index (SDI) and the membrane flow rate. Other cluste
rs were found as well. This analysis can be further developed into larger c
lusters 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 a
nd ultimately diminish production expenses.