Development of new correlations for the oil formation volume factor in oil reservoirs using artificial intelligent white box technique

2018年 4卷 第2期
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Salaheldin Elkatatny Mohamed Mahmoud
Oil formation volume factor (OFVF) is considered one of the main parameters required to characterize the crude oil. OFVF is needed in reservoir simulation and prediction of the oil reservoir performance. Existing correlations apply for specific oils and cannot be extended to other oil types. In addition, big errors were obtained when we applied existing correlations to predict the OFVF. There is a massive need to have a global OFVF correlation that can be used for different oils with less error.
Oil formation volume factor; Artificial intelligent; Reservoir management; Artificial neural network;
https://doi.org/10.1016/j.petlm.2017.09.009