Architecture
Economic and administrative sciences
- Economy
- Business Administration
- Statistics and Actuarial Sciences
- International Business
- Project Management Specialization
- Business Management Specialization
- ???jsp.home.menu-lumieres.ehuman???
- Occupational Health and Safety Management Specialization
- International Business and Economic Integration Specialization
- Master MBA Administration
- Master Degree in Human Talent Management
Sciences and Humanities
Engineering
- Industrial engineering
- Mechanical Engineering
- Petroleum engineering
- Chemical engineering
- Environmental engineering
- Energy Engineering
- Mechatronics Engineering
- Quality Management Specialization
- Environmental Management Specialization
- Master in Environmental Management for Competitiveness
- Master Degree in Comprehensive Quality and Productivity Management
- Reservoir Engineering Master
- Master in Advanced Hydrocarbon Recovery
Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11839/9133Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Granobles Urrutia, Sebastián | - |
| dc.contributor.author | Romero Lizcano, Laura Brigitte | - |
| dc.contributor.author | Henao, Adriana | - |
| dc.contributor.author | Sarmiento, Arian | - |
| dc.date.accessioned | 2023-04-18T12:24:03Z | - |
| dc.date.available | 2023-04-18T12:24:03Z | - |
| dc.date.issued | 2022-02-03 | - |
| dc.identifier.citation | APA 7th - Granobles Urrutia, S. et al. (2022) Implementación de un modelo predictivo mediante la metodología de machine learning para la localización de pozos inyectores de agua en un yacimiento heterogéneo. [Artículo de grado, Fundación Universidad de América] Repositorio Institucional Lumieres. https://hdl.handle.net/20.500.11839/9133 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.11839/9133 | - |
| dc.description | Heterogeneous reservoirs are common in the world being a non-uniform and non-linear spatial distribution of rock properties such as porosity, permeability and oil, gas and water saturation. The petroleum industry offers limited options for predicting effective locations for water injection wells in a heterogeneous reservoir. The leading country in the use of artificial intelligence is China and it is being implemented in different sectors of daily life such as medicine and surveillance among others. | spa |
| dc.description.abstract | Los yacimientos heterogéneos son comunes en el mundo siendo una distribución espacial no uniforme y no lineal de las propiedades de las rocas tales como porosidad, permeabilidad y saturación de petróleo, gas y agua. La industria del petróleo ofrece opciones limitadas para predecir ubicaciones efectivas para pozos inyectores de agua en un yacimiento heterogéneo. El país líder en el uso de inteligencia artificial es China y se está implementando en diferentes sectores de la vida diaria como la medicina y la vigilancia entre otros. | spa |
| dc.language.iso | es | spa |
| dc.publisher | Fundación Universidad de América | spa |
| dc.rights | Atribución – No comercial – Compartir igual | spa |
| dc.subject | Aprendizaje autónomo | spa |
| dc.subject | Inyección de agua | spa |
| dc.subject | Yacimiento heterogeneo | spa |
| dc.subject | Autonomous Learning | spa |
| dc.subject | Water injection | spa |
| dc.subject | Heterogeneous reservoir | spa |
| dc.title | Implementación de un modelo predictivo mediante la metodología de machine learning para la localización de pozos inyectores de agua en un yacimiento heterogéneo | spa |
| dc.title.alternative | Implementation of a predictive model using the machine learning methodology for the location of water injector wells in a heterogeneous reservoir | spa |
| dc.type | Article | spa |
| Appears in Collections: | Artículos de Grado - Ingeniería de Petróleos | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5161437-2022-1-IP.pdf | 577.24 kB | Adobe PDF | View/Open | |
| CARTA DE CESIÓN DE DERECHOS Y AUTORIZACIÓN PARA PUBLICACIÓN.pdf Access Restricted | 153.41 kB | Adobe PDF | View/Open Request a copy |
