Selección de tratamientos químicos para recobro mejorado a partir de metodologías multicriterio

dc.contributor.advisorOlaya Morales, Yrisspa
dc.contributor.advisorMejía Cárdenas, Juan Manuelspa
dc.contributor.authorOrtega Romero, Cindy Alejandraspa
dc.contributor.researchgroupDinámicas de Flujo y Transporte en Medios Porososspa
dc.coverage.sucursalUniversidad Nacional de Colombia - Sede Medellínspa
dc.date.accessioned2020-02-14T16:36:59Zspa
dc.date.available2020-02-14T16:36:59Zspa
dc.date.issued2019spa
dc.date.issued2019spa
dc.description.abstractThis research presents a decision methodology to select a chemical treatment for enhanced oil recovery in a specific field. The proposed decision algorithm combines Analytic Hierarchy Process (AHP), Fuzzy Logic (FL), and Genetic Algorithms (GA) for determining the relative importance of criteria, and then with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select the best alternative.spa
dc.description.abstractEn este trabajo de investigación se presenta una metodología de decisión para respaldar la elección de tratamientos químicos para mejorar la recuperación de petróleo en un campo específico. El algoritmo de decisión propuesto combina el proceso analítico jerárquico (AHP), la lógica difusa (FL) y algoritmos genéticos (GA), para determinar la importancia relativa de los criterios y luego, con la técnica para el orden de preferencia por similitud con la solución ideal (TOPSIS) seleccionar la mejor alternativa.spa
dc.description.additionalMaestría en Ingeniería - Ingeniería de Sistemasspa
dc.format.extent142spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/75604
dc.language.isospaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Medellínspa
dc.relation.referencesB. Liang et al., “Novel Enhanced-Oil-Recovery Decision-Making Work Flow Derived From the Delphi-AHP-TOPSIS Method : A Case Study,” no. October 2015, pp. 20–22, 2018.spa
dc.relation.referencesJ. Carlos and S. Tamayo, “Metodología para la identificación de pozos con oportunidades de incremento de producción en campos maduros universidad central del Ecuador,” Universidad Central del Ecuador, 2013.spa
dc.relation.referencesR. Al-Mjeni, S. Arora, and P. Cherukupalli, “Has the time come for EOR?,” Oilf. Rev., vol. 22, no. 4.spa
dc.relation.referencesA. A. Olajire, “Review of ASP EOR (alkaline surfactant polymer enhanced oil recovery) technology in the petroleum industry: Prospects and challenges,” Energy, vol. 77, pp. 963–982, Dec. 2014.spa
dc.relation.referencesA. Y. Zekri and K. K. Jerbi, “Economic evaluation of enhanced oil recovery,” Oil Gas Sci. Technol., vol. 57, no. 3, pp. 259–267, 2002.spa
dc.relation.referencesC. M. Aparicio González, “Desarrollo de un algoritmo de decisión multicriterio para la gestión de listas de espera en la solicitud de holter,” 2015.spa
dc.relation.referencesEcuRed, “Análisis multicriterio - EcuRed.” [Online]. Available: https://www.ecured.cu/Análisis_multicriterio. [Accessed: 07-Nov-2018].spa
dc.relation.referencesA. Guitouni and J.-M. Martel, “Tentative guidelines to help choosing an appropriate MCDA method,” Eur. J. Oper. Res., vol. 109, no. 2, pp. 501–521, Sep. 1998.spa
dc.relation.referencesM. Velasquez and P. T. Hester, “An analysis of multi-criteria decision making methods,” Int. J. Oper. Res., vol. 10, no. 2, pp. 49–58, 2015.spa
dc.relation.referencesJ. Ruiz, “MÉTODOS DE DECISIÓN MULTICRITERIO ELECTRE Y TOPSIS APLICADOS A LA ELECCIÓN DE UN DISPOSITIVO MÓVIL,” Universidad de Sevilla, 2015.spa
dc.relation.referencesF. J. Ruvalcaba Coyaso, F. J. and A. Vermonden, A., “Lógica difusa para la toma de decisiones y la selección de personal,” Univ. Empres., vol. 17, no. 29, pp. 239–256, 2016.spa
dc.relation.referencesM. B. Ayhan, “A Fuzzy AHP Approach For Supplier Selection Problem: A Case Study In A Gearmotor Company,” Int. J. Manag. Value Supply Chain., vol. 4, no. 3, pp. 11–23, 2013.spa
dc.relation.referencesI. A. León Téllez, S. L. Garcia Guevara, and Y. Guerra Vázquez, “A Model for Hierarchical Arrangement and Selection of Projects for Local Development Initiatives in Municipalities,” Retos la Dir., vol. 12, no. 1, pp. 159–185, 2018.spa
dc.relation.referencesJ. J. Buckley and V. R. R. Uppuluri, “Fuzzy Hierarchical Analysis,” in Uncertainty in Risk Assessment, Risk Management, and Decision Making, Boston, MA: Springer US, 1987, pp. 389–401spa
dc.relation.referencesM. Khojastehmehr, M. Madani, and A. Daryasafar, “Screening of enhanced oil recovery techniques for Iranian oil reservoirs using TOPSIS algorithm,” Energy Reports, vol. 5, pp. 529–544, Nov. 2019spa
dc.relation.referencesENERGY INSTITUTE LONDON, Good plant design and operation for onshore carbon capture installations and onshore pipelines. 2010.spa
dc.relation.referencesNALCO, “Environmental impact assessment for capacity augmentation of specialty chemicals from 11,000 tpa to 22,000 tpa within the existing plant at konnagar, hooghly district, west bengal,” 2018spa
dc.relation.referencesF. B. Cortés et al., “Development and Evaluation of Surfactant Nanocapsules for Chemical Enhanced Oil Recovery (EOR) Applications.,” Molecules, vol. 23, no. 7, Jun. 2018.spa
dc.relation.referencesK. Semeco, “REPARACIÓN DE POZOS - QRA Análisis Probabilístico de Riesgo de la Actividad de Perforación y Reparación de Pozos,” Reliab. Risk Manag. S.A, 2006.spa
dc.relation.referencesC. A. Espinosa and K. J. Torres, “Técnicas de recobro y recobro mejorado en yacimientos con crudos livianos , pesados y extra-pesados,” J. Pet. Sci. Eng., p. 19, 2015spa
dc.relation.referencesA. Al-Adasani and B. Bai, “Recent Developments and Updated Screening Criteria of Enhanced Oil Recovery Techniques,” pp. 1–24, 2010spa
dc.relation.referencesSchlumberger Oilfield Glossary, “tensión interfacial - Schlumberger Oilfield Glossary.” [Online]. Available: ttps://www.glossary.oilfield.slb.com/es/Terms/i/interfacial_tension.aspx. [Accessed: 08-Jun-2019].spa
dc.relation.referencesSchlumberger Limited, “EOR Pilot Design | Schlumberger,” 2018. [Online]. Available: https://www.slb.com/services/technical_challenges/enhanced_oil_recovery/pilot_projects/construction_eor.aspx. [Accessed: 03-Sep-2018].spa
dc.relation.referencesSchlumberger Limited, “Pilot Projects | Schlumberger,” 2018. [Online]. Available: https://www.slb.com/services/technical_challenges/enhanced_oil_recovery/pilot_projects.aspx. [Accessed: 03-Sep-2018spa
dc.relation.referencesA. Morillas, “Introducción al análisis de datos difusos,” in Introducción al análisis de datos difusos, Edición el., 2006.spa
dc.relation.referencesS. C. D. F. José, “A Genetic Algorithm to Obtain Consistency in Analytic Hierarchy Process,” Brazilian J. Oper. Prod. Manag., vol. 8, no. 1, pp. 55–64, 2011.spa
dc.relation.referencesF. Moussaoui, M. Cherrared, M. A. Kacimi, and R. Belarbi, “A genetic algorithm to optimize consistency ratio in AHP method for energy performance assessment of residential buildings—Application of top-down and bottom-up approaches in Algerian case study,” Sustain. Cities Soc., vol. 42, no. August 2017, pp. 622–636, 2018.spa
dc.relation.referencesA. S. Milani, A. Shanian, R. Madoliat, and J. A. Nemes, “The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection,” Struct. Multidiscip. Optim., vol. 29, no. 4, pp. 312–318, Apr. 2005.spa
dc.relation.referencesA. Çelen, “Comparative Analysis of Normalization Procedures in TOPSIS Method: With an Application to Turkish Deposit Banking Market,” INFORMATICA, vol. 25, no. 2, pp. 185–208, 2014spa
dc.relation.referencesL. M. Camarinha-Matos, A. J. Falcão, N. Vafaei, and S. Najdi, “Normalization Techniques for Multi-Criteria Decision Making: Analytical Hierarchy Process Case Study,” IFIP Adv. Inf. Commun. Technol., vol. 470, no. October 2017, 2016.spa
dc.relation.referencesS. Chakraborty and C.-H. Yeh, “A simulation comparison of normalization procedures for TOPSIS,” no. July, pp. 1815–1820, 2009.spa
dc.relation.referencesN. Vafaei, R. A. Ribeiro, and L. M. C. Matos, “Data normalisation techniques in decision making: case study with TOPSIS method,” Int. J. Inf. Decis. Sci., vol. 10, no. 1, p. 19, 2018.spa
dc.rightsDerechos reservados - Universidad Nacional de Colombiaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.spaAcceso abiertospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.ddcIngeniería de sistemasspa
dc.subject.proposalTOPSISspa
dc.subject.proposalGenetic algorithmeng
dc.subject.proposalEnhanced oil recoveryeng
dc.subject.proposalAlgoritmo genéticospa
dc.subject.proposalChemical treatmenteng
dc.subject.proposalRecobro mejoradospa
dc.subject.proposalTratamiento químicospa
dc.titleSelección de tratamientos químicos para recobro mejorado a partir de metodologías multicriteriospa
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
1067908050.2019.pdf
Tamaño:
3.62 MB
Formato:
Adobe Portable Document Format
Descripción:
Tesis de Maestría en Ingeniería - Ingeniería de Sistemas

Bloque de licencias

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
license.txt
Tamaño:
3.9 KB
Formato:
Item-specific license agreed upon to submission
Descripción: