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- W4220708510 abstract "Petrophysicists and reservoir engineers utilise the capillary pressure and saturation-height function for calculating the water saturation of any reservoir, at a given height above the free water level. The results have a big impact on reserve estimation. The majority of capillary pressure studies are carried out in labs with core data. Cores, on the other hand, are usually altered from their original state before being delivered to laboratories. Moreover, the accuracy of discrete sets of core data in describing entire reservoir parameters, is still up for debate. Prediction of the capillary pressure curve in reservoir condition is an important subject that is challenging to perform. The use of nuclear magnetic resonance (NMR) logs for oil and gas exploration has grown in popularity over the last few decades. However, most of the time the utilization of the data is limited for evaluating porosity-permeability, distributions and computation of irreducible water saturation. After the advent of fluid substitution methods, NMR T2 distributions may now be used to synthesize core equivalent capillary pressure curves. Using fluid substitution workflow, our study introduces a better approach for obtaining capillary pressure curves from the NMR T2 distribution. The available core data has been used to calculate calibration parameters for better saturation height modelling. The workflow introduces a novel approach in resistivity independent saturation computation. In the exploratory wells of our study area, computed water saturation derived from the saturation height function exhibits encouraging agreement with resistivity based water saturation from multi-mineral model. The NMR based saturation height modelling approach has been included in study area for the first time so far." @default.
- W4220708510 created "2022-04-03" @default.
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- W4220708510 date "2023-03-01" @default.
- W4220708510 modified "2023-09-26" @default.
- W4220708510 title "Fluid substitution in NMR T2 distribution and resistivity independent saturation computation using synthetic capillary pressure data" @default.
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- W4220708510 doi "https://doi.org/10.1016/j.ptlrs.2022.03.004" @default.
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