Implementación de un modelo predictivo para la estimación de un indicador de borehole quality, mediante la metodología machine learning, en los pozos perforados durante la campaña 2017-2020 de dos campos de hidrocarburos de la Cuenca del Valle Medio del Magdalena
The document presents the implementation of a predictive model for the estimation of a Borehole Quality, said research project was born from the need to have values or ranges of standardized parameters as optimal to evaluate the effectiveness in drilling operations for two fields of Middle Magdale...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad de América
- Repositorio:
- Lumieres
- Idioma:
- spa
- OAI Identifier:
- oai:repository.uamerica.edu.co:20.500.11839/8623
- Acceso en línea:
- https://hdl.handle.net/20.500.11839/8623
- Palabra clave:
- Energía mecánica específica
Indicador direccional dificultad
Peso sobre broca
Specific mechanical energy
Specific mechanical energy
Weight over bit
Tesis y disertaciones académicas
- Rights
- License
- Atribución – No comercial
| Summary: | The document presents the implementation of a predictive model for the estimation of a Borehole Quality, said research project was born from the need to have values or ranges of standardized parameters as optimal to evaluate the effectiveness in drilling operations for two fields of Middle Magdalena Valley. In the first place, a database was generated based on the data of the wells drilled in the period 2017-2020 with a vertical directional profile, said database was refined through an exploratory data analysis in order to prepare it for the division. and test of the predictive model. |
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