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Previous issue date: 2017-07-05 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / O m?todo de eleva??o artificial por Bombeio Mec?nico (BM) ? o mais utilizado nos po?os de petr?leo no Brasil e no mundo. Este m?todo se destaca pela sua simplicidade, baixo custo em investimentos e manuten??es, flexibilidade quanto ? vaz?o de opera??o e possibilidade de operar com fluidos de diferentes composi??es e viscosidades. No entanto, as unidades de bombeio mec?nico (UB?s), assim como todo equipamento mec?nico, necessitam de manuten??es peri?dicas sejam elas corretivas ou preventivas. Dentre as atividades operacionais mais comuns realizadas nas unidades de bombeio destacam-se o balanceamento e o ajuste do curso da haste polida. A realiza??o dessas atividades requer a parada da produ??o do po?o e ? feita manualmente por uma equipe que ? deslocada at? o local onde se encontra a UB. Nesse contexto, a Petrobras em parceria com a UFRN e fornecedores desenvolveram uma unidade de bombeio mec?nico, denominada Unidade de Bombeio Inteligente (UBI), capaz de realizar o balanceamento e o ajuste do curso da haste polida sem a necessidade de uma equipe se deslocar at? a UB. Isto posto, beneficiando-se das vantagens da UBI, este trabalho se prop?e a desenvolver uma estrat?gia para controlar automaticamente a Unidade de Bombeio Inteligente. O desenvolvimento dessa estrat?gia tem por objetivo garantir que o equipamento tanto opere em condi??es adequadas e dentro de seus limites de seguran?a (previamente definidos pelo operador), quanto otimize a produ??o do po?o. Com o intuito de se obter a valida??o da estrat?gia de controle proposta para a UBI, foram realizados testes em laborat?rio utilizando po?os virtuais. Esses testes demonstraram que a estrat?gia desenvolvida conseguiu apresentar desempenho satisfat?rio, isto ?, controlar a UBI, mant?-la dentro dos limites pr?-estabelecidos pelo operador e otimizar a vaz?o de produ??o. / 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.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/24283 |
| Date | 05 July 2017 |
| Creators | Oliva, Gabriel Bessa de Freitas Fuezi |
| Contributors | 42046637100, Assmann, Benno Waldemar, 75841312715, Maitelli, Carla Wilza Souza de Paula, 72255501449, Costa, Rutacio de Oliveira, 20954581334, Maitelli, Andr? Laurindo |
| Publisher | PROGRAMA DE P?S-GRADUA??O EM CI?NCIA E ENGENHARIA DE PETR?LEO, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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