Reservoir estimation and evaluation during the exploration and appraisal phases of an Asset has proven very challenging due to the data uncertainties of the Reservoir. This makes the original oil in place calculations erroneous. Some of thePetrophysical data include the permeability, porosity, formation resistivity factor and saturation of water. The Porosity of the reservoir rocks and its permeability can be said to be the most fundamental physical properties with respect to the storage and transmission of fluids. These properties might also have an effect on the Formation resistivity factor, Saturation of water and then the whole Oil in place estimation. Thus, the accurate knowledge of these properties for any hydrocarbon Reservoir, along with the fluid properties is required for efficient development, management, and prediction of future performance of the oilfield Asset. This paper discusses the development (modelling, programming and simulating) of I-PETRO, a software designed to aid the evaluation of Petrophysical data, with reference to data from all the various Depobelts in the Niger-Delta. They incorporate all existing Models and correlations (Global and Regional), which thus allows the user to be able to compare the obtained value with existing correlations. It also helps to evaluate the oil in place. It was developed with Visual Basic 6.0. It is user friendly, reduces complexities in facies analysis, perform Petrophysical properties evaluation and is fully accompanied with an encompassing unit's converter. The first step of achieving the objectives of this project was to develop correlations for Formation Resistivity and Porosity especially for the Niger Delta from 156 data points, these points were taken from different regions of the Niger Delta Depobelts (Northern Delta, Greater Ughelli, Coastal Swamp, Central Swamp and the Offshore Depobelts) and they were compared with Global correlations. I-PETRO software was then developed using an algorithm, which was used to develop the program to estimate Petrophysical parameters and then the oil in place, taking into consideration all the required correlations required for more accurate evaluations.

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