An investigation of resistivity-based pore-pressure estimation in sediments near salt bodies was conducted as part of a jointindustry project (JIP) that acquired, analyzed, and documented more than 100 wells in the Gulf of Mexico from shelf to deepwater (2005)(2006)(2007)(2008)(2009). The result of this unique study culminated in the compilation of a comprehensive database that includes geophysical, petrophysical, and drilling data. This database was used to develop best practices for pore-pressure estimation below and around salt bodies.Resistivity-based pore-pressure prediction is dependent on many variables including: porosity, salinity, temperature, fluid type, saturation, shale content, type of clay, and texture. Resistivity changes resulting from changes of pore water salinity near salt masses may give a false indication of pore-pressure changes. Approximately 50% of the subsalt wells show some signs of salinity variations near the salt (within ~1,000 to 1,500 ft) that impact pore-pressure estimates for sediments adjacent to salt. Resistivity commonly responds to changes in pore water chemistry near salt; thus, there is a compelling need to recognize the salinity variation near salt bodies and find ways to account for these variations in resistivity-based porepressure analysis. This report presents exploratory efforts into possible approaches to achieve this goal.Resistivity variations owing to salinity and temperature have been addressed using a dual water-modeling procedure, as published by Revil et al. (1998). This was used to generate a normalized resistivity. Normalized resistivity is then used as a primary input to conventional (Eaton 1975) pore-pressure analysis. The analysis of pore pressure from normalized resistivity remains an academic interest and has yet to be proven practical. This paper shows good evidence for a potential improvement to be gained from normalized resistivity analysis. It is hoped that accumulated experience from applying this approach (resistivity normalization) will pave the way to an improved resistivity-based pore-pressure prediction analysis in sediments affected by salinity variations.