A comprehensive multidisciplinary study of the El Qar'a,Abu Madi, Khilala area ,South-east of lake Burullos was carried out in order to create a G.I.S. model to evaluate any groundwater and /or the reservoir potentiality which are very important for injection and re-treatment processes in oil industry whatever the salinity conditions are. Lithologic interpretation and formation evaluation were applied for Abu Madi Formation encountered in twenty nine wells. The study was carried out to evaluate the reservoir characterization, define the environment of deposition and to delineate the geometry and lithofacies distribution laterally and vertically for Abu Madi sand units. This has been achieved through integration of borehole data and a comprehensive well logging analysis of the rock units using GIS environment.
The log data of twenty nine well were analyzed using Landmark Geographix Explorer log modeling system and Logpack System which have the capability to differentiate between siltstones, non reservoir, and thinly laminated sands, which could prove additional reserves. The maps of the groundwater aquifer and/or reservoir parameters indicate that Abu Madi Sand unit level III extension to the south contributing further conformation to the results derived from the seismic stratigraphic and geological studies.
G.I.S techniques are applied to create a general groundwater aquifer and/ or reservoir model to create three decision maps for future scenario of groundwater production in the study area. These three priority maps created for Abu Madi Formation level III (upper, middle and lower units), depend on the parameters extracted from the analysis of different data namely. Borehole data (Gross sand or thickness and depth) and well logging data ( porosity, water saturation and shale volume ) were used to detect the aquifer suitability ranks for production allover the study area using the algebraic sum of weighting factors of the possible combinations of the different subdivisions of parameters. The decision maps highlight a prospective area and detect the presence of three sites as first priority for groundwat er production on the study area.