Abstract
The current study demonstrate an attempt to implement an online tool capable of sizing sucker-rod pumps (SRPs) used in oil and gas industry. This tool aims mainly to investigating the utility of integrating renewable energy resources in the oil and gas industry. As well as managing the energy consumption estimated from SRPs with respect to actual infield measurements. Along with optimizing the production cost and reducing it with maintaining the stability of the oil production rate. In addition, identifying the economic feasibility of the enrolment of renewable energy (PV) in the oil and gas industry. Finally, the tool explore the levelized cost of energy (LCOE) variation against the field location while considering various filed locations in Egypt.
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Elyamany, M., Abdellatif, S.O., Ghali, H. (2023). Online Sucker-Rod Pumping with Photovoltaic Driven System Sizing Tool for Oil and Gas Industrial Sector. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_19
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DOI: https://doi.org/10.1007/978-3-031-17091-1_19
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