A genetic neuro-model reference adaptive controller for petroleum wells drilling operations
dc.contributor.author | Fonseca, Tiago C. | |
dc.contributor.author | Mendes, José Ricardo P. | |
dc.contributor.author | Serapião, Adriane B.S. [UNESP] | |
dc.contributor.author | Guilherme, Ivan R. [UNESP] | |
dc.contributor.institution | Universidade Estadual de Campinas (UNICAMP) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-27T11:22:39Z | |
dc.date.available | 2014-05-27T11:22:39Z | |
dc.date.issued | 2007-12-01 | |
dc.description.abstract | Motivated by rising drilling operation costs, the oil industry has shown a trend towards real-time measurements and control. In this scenario, drilling control becomes a challenging problem for the industry, especially due to the difficulty associated to parameters modeling. One of the drill-bit performance evaluators, the Rate of Penetration (ROP), has been used in the literature as a drilling control parameter. However, the relationships between the operational variables affecting the ROP are complex and not easily modeled. This work presents a neuro-genetic adaptive controller to treat this problem. It is based on the Auto-Regressive with Extra Input Signals model, or ARX model, to accomplish the system identification and on a Genetic Algorithm (GA) to provide a robust control for the ROP. Results of simulations run over a real offshore oil field data, consisted of seven wells drilled with equal diameter bits, are provided. © 2006 IEEE. | en |
dc.description.affiliation | State University of Campinas UNICAMP/FEM/DEP, CP.6122, Campinas, SP 13083-970 | |
dc.description.affiliation | São Paulo State University UNESP/IGCE/DEMAC, Avenida 24-A, 1515, CP. 178, Rio Claro, SP 13506-700 | |
dc.description.affiliationUnesp | São Paulo State University UNESP/IGCE/DEMAC, Avenida 24-A, 1515, CP. 178, Rio Claro, SP 13506-700 | |
dc.identifier | http://dx.doi.org/10.1109/CIMCA.2006.8 | |
dc.identifier.citation | CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies .... | |
dc.identifier.doi | 10.1109/CIMCA.2006.8 | |
dc.identifier.lattes | 6997814343189860 | |
dc.identifier.orcid | 0000-0001-9728-7092 | |
dc.identifier.scopus | 2-s2.0-38849162361 | |
dc.identifier.uri | http://hdl.handle.net/11449/70013 | |
dc.language.iso | eng | |
dc.relation.ispartof | CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ... | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Genetic algorithms | |
dc.subject | Mathematical models | |
dc.subject | Oil well drilling | |
dc.subject | Problem solving | |
dc.subject | Robust control | |
dc.subject | Performance evaluators | |
dc.subject | Rate of Penetration (ROP) | |
dc.subject | Adaptive control systems | |
dc.title | A genetic neuro-model reference adaptive controller for petroleum wells drilling operations | en |
dc.type | Trabalho apresentado em evento | |
dcterms.license | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
dspace.entity.type | Publication | |
unesp.author.lattes | 6997814343189860[3] | |
unesp.author.orcid | 0000-0001-9728-7092[3] | |
unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claro | pt |
unesp.department | Estatística, Matemática Aplicada e Computação - IGCE | pt |