Estimation of water saturation by using radial based function artificial neural network in carbonate reservoir: A case study in Sarvak formation

2016年 2卷 第2期
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Hamid Heydari Gholanlo Masoud Amirpour Saeid Ahmadi
Water saturation determination in core laboratory is known as a cost and time consuming labor. Hitherto, many scientists attempted to estimate accurately water saturation from well-logging data which has a continuous record without losing information. Therefore, various model were introduced to relate reservoir properties and water saturation. Since carbonate reservoir is very heterogeneous in shape and size of pore throat, the relation between water saturation and other carbonates reservoir properties is very complex, and causes considerable overall errors in water saturation calculation. By increasing the usage and improvement of soft computing methods in engineering problems, petroleum engineers have been attended them to measure the petrophysical properties of the reservoir.
Water saturation; Radial basis function neural network; Genetic algorithm; Archie model; Carbonate reservoir;
https://doi.org/10.1016/j.petlm.2016.04.002