Desenvolvimento de uma estratégia de controle para uma unidade de bombeio inteligente
The Sucker-Rod Pump (SRP) system is the most used artificial lift method in oil wells in Brazil and in the world. This method stands out for its simplicity, low cost in investments and maintenance, can be operated in a large range of flowrates and possibility to operate with fluids of different comp...
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| Formato: | Dissertação |
| Lenguaje: | por |
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Brasil
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| Acceso en línea: | https://repositorio.ufrn.br/jspui/handle/123456789/24283 |
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| Sumario: | The Sucker-Rod Pump (SRP) system is the most used artificial lift method in oil wells in Brazil and in the world. This method stands out for its simplicity, low cost in investments and maintenance, can be operated in a large range of flowrates and possibility to operate with fluids of different compositions and viscosities. However, the Sucker-Rod Pumping Units, as well as all mechanical equipment, require periodic maintenance, whether corrective or preventive. Two important procedures commonly made at the SRP Units are the adjustment for counterbalancing the pumping unit and the adjustment of the polished rod stroke length. Performing these procedures require stopping the production of the well and are made manually by a team that is moved to the place where the pumping unit is located. In this context, Petrobras in partnership with UFRN and other companies developed a new type of pumping unit, called Smart Sucker-Rod Pump (SSRP), which is capable to counterbalancing the unit and adjust the polished rod stroke length without the need of a team to move to the field. Thus, benefiting from the advantages of the SSRP, this work proposes to develop a strategy to automatically control the Smart Sucker-Rod Pump. The development of this strategy aims to ensure that the equipment both operates under proper conditions and within its safety limits (previously set by the operator), as well as to optimize the well production. In order to validate the control strategy developed for the SSRP, laboratory simulations were performed using virtual wells. It was observed that the developed strategy reached the proposed goals for which it was developed, that is, keep the parameters of the SSRP within the limits set by the operator and optimize the production flowrate. |
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