Abstract
An accurate estimation of the pressure drop in well tubing is essential for the solution of a number of important production engineering and reservoir analysis problems. Several empirical correlations and mechanistic models have been proposed in the literature to estimate the pressure drop in vertical wells that produce a mixture of oil, water, and gas. Although many correlations and models are available to calculate the pressure loss, these models were developed based on a certain set of assumptions and for particular range of data where it may not be applicable for use in different conditions. In this paper, group methods of data handling (GMDH) is used to build a model to predict the pressure drop in multiphase vertical wells. The developed GMDH model has shown the outstanding results, and it has outperformed all empirical correlations and mechanistic models, which have been compared to. The analysis of the results also confirmed that the testing set achieves accurate estimation of the pressure drop. Trend analysis of the model showed that the model is correctly predicting the expected effects of the independent variables on pressure drop.
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Acknowledgment
The authors would like to thank the Petroleum Engineering department at Universiti Teknologi PETRONAS for supporting this study.
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Ayoub, M.A., Negash, B.M., Saaid, I.M. (2015). Modeling Pressure Drop in Vertical Wells Using Group Method of Data Handling (GMDH) Approach. In: Awang, M., Negash, B., Md Akhir, N., Lubis, L. (eds) ICIPEG 2014. Springer, Singapore. https://doi.org/10.1007/978-981-287-368-2_6
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DOI: https://doi.org/10.1007/978-981-287-368-2_6
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