Optimizing the ultimate recovery by infill drilling using streamline simulation

Autores

  • Keyvan Dailami Omidieh Azad University
  • Hamid Reza Nasriani University of Central Lancashire http://orcid.org/0000-0001-9556-7218
  • Seyed Adib Sajjadi Omidieh Azad University
  • Mohammad Rafie Rafiee Jahrom University
  • Justin Whitty University of Central Lancashire
  • Jonathan Francis University of Central Lancashire

DOI:

https://doi.org/10.4025/actascitechnol.v42i1.45293

Palavras-chave:

ultimate recovery; recovery factor; streamline simulation; infill well; infill drilling; horizontal well; vertical well; water flooding.

Resumo

Even though numerical simulators that use the finite difference approach to model the oil and gas fields and to forecast the field performance are popular in the petroleum industry, they suffer from a very long central processing unit (CPU) time in the complex reservoirs with large number of grids. This issue could be resolved by streamline simulation and it could significantly decrease the runtime. This work explains the the streamline simulation concept and then a real oil field is studied using this technique, the streamline simulation is conducted by a commercial simulator, i.e., FrontSim streamline simulator and then the model was analyzed to find the optimum location of infill wells. In this work, 34 different cases were studied using Streamline simulation method and FrontSim software by considering different arrangement of infill wells. It was concluded that a significant enhancement in the ultimate recovery factor of the oil reservoir could be attained by considering different arrangement of the infill horizontal and vertical wells. It was highlighted that the ultimate recovery factor could be increased significantly, i.e., 13%. Additionally the water cut of the field could be reduced significantly. The novelty of this work is to capture the impact of both vertical and horizontal wells on the ultimate recovery enhancement simultaneously using the concept of streamline simulation and optimization of the field performance using streamline simulation concept.

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Publicado

2019-11-29

Como Citar

Dailami, K., Nasriani, H. R., Sajjadi, S. A., Rafiee, M. R., Whitty, J., & Francis, J. (2019). Optimizing the ultimate recovery by infill drilling using streamline simulation. Acta Scientiarum. Technology, 42(1), e45293. https://doi.org/10.4025/actascitechnol.v42i1.45293

Edição

v. 42 (2020): Publicação contí­nua

Seção

Engenharia Quí­mica

Licença

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