Optimización de Procesos Empresariales en el Sector Petrolero mediante Automatización Inteligente y Tecnologías de Inteligencia Artificial en Bogotá D.C.
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Date
2025-07-13
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Publisher
Corporación Universitaria Minuto de Dios – UNIMINUTO
Type
Trabajo de Investigación e Innovación
Rights
Acceso Abierto - http://purl.org/coar/access_right/c_abf2
Abstract
La investigación se enmarca en una metodología cualitativa, con enfoque exploratorio y aplicado. Se han seleccionado procesos clave mediante muestreo intencional, priorizando aquellos con mayor impacto y viabilidad técnica. Las técnicas de recolección de información incluyen el análisis de procesos, entrevistas con expertos y herramientas de simulación, que permitirán identificar oportunidades de mejora en aspectos como el monitoreo predictivo, la gestión de inventarios críticos, la perforación direccional y la planificación de producción.
Se encontró que un 63,4% de la población conoce la inteligencia artificial, un 24% la Machine Learning, un 19% no conoce ninguna herramienta de transformación digital. La herramienta más utilizada por los encuestados es Microsoft Power Automate (14%)y la menos utilizada es ERP (2%). Los resultados evidencian la importancia de reforzar la capacitación y sensibilización en nuevas tecnologías desde las empresas.
Las áreas de servicio al cliente, recursos humanos y procesos administrativos pueden ser altamente beneficiadas por la implementación tecnológica.
This study explores the problem of operational inefficiency in the Colombian oil sector, associated with the low adoption of emerging technologies, the persistence of manual processes, and limited data integration. Based on this diagnosis, a strategic proposal is designed for the implementation of intelligent automation tools, with a special emphasis on Internet of Things (IoT) technologies and Artificial Intelligence (AI) solutions, applied to a company in the sector located in Bogotá, D.C. The research is framed within a qualitative methodology, with an exploratory and applied approach. Key processes were selected using purposive sampling, prioritizing those with the greatest impact and technical feasibility. Information collection techniques include process analysis, expert interviews, and simulation tools. These will allow for the identification of improvement opportunities in areas such as predictive monitoring, critical inventory management, directional drilling, and production planning. It was found that 63.4% of the population is familiar with artificial intelligence, 24% with Machine Learning, and 19% are not familiar with any digital transformation tools. The most used tool by respondents is Microsoft Power Automate (14%), and the least used is ERP (2%). The results highlight the importance for companies to reinforce training and awareness in new technologies. Customer service, human resources, and administrative processes can greatly benefit from technological implementation.
This study explores the problem of operational inefficiency in the Colombian oil sector, associated with the low adoption of emerging technologies, the persistence of manual processes, and limited data integration. Based on this diagnosis, a strategic proposal is designed for the implementation of intelligent automation tools, with a special emphasis on Internet of Things (IoT) technologies and Artificial Intelligence (AI) solutions, applied to a company in the sector located in Bogotá, D.C. The research is framed within a qualitative methodology, with an exploratory and applied approach. Key processes were selected using purposive sampling, prioritizing those with the greatest impact and technical feasibility. Information collection techniques include process analysis, expert interviews, and simulation tools. These will allow for the identification of improvement opportunities in areas such as predictive monitoring, critical inventory management, directional drilling, and production planning. It was found that 63.4% of the population is familiar with artificial intelligence, 24% with Machine Learning, and 19% are not familiar with any digital transformation tools. The most used tool by respondents is Microsoft Power Automate (14%), and the least used is ERP (2%). The results highlight the importance for companies to reinforce training and awareness in new technologies. Customer service, human resources, and administrative processes can greatly benefit from technological implementation.
Description
El propósito de esta investigación es generar una propuesta de estrategias que permitan mejorar la eficiencia de los procesos empresariales en una compañía del sector petrolero en Bogotá D.C., mediante la identificación, evaluación y aplicación de herramientas de automatización basadas en tecnologías emergentes.
Keywords
Automatización Inteligente, IoT, Inteligencia Artificial, Eficiencia Operativa, Industria Petrolera, Transformación Digital