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Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: Martins, Ramon Araujo
Orientador(a): Meleiro, Luiz Augusto da Cruz
Banca de defesa: Freire, Fabio Bentes, Junior, Mauricio Bezerra de Souza
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
dARK ID: ark:/80033/0013000002gh5
Idioma: por
Instituição de defesa: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Programa de Pós-Graduação: Programa de Pós-graduação em Engenharia Química
Departamento: Universidade Federal Rural do Rio de Janeiro
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://deposita.ibict.br/handle/deposita/772
Resumo: In oil activities, during the drilling stage, the use of drilling fluids becomes essential for the success of the entire operation. These drilling fluids are constituted by adding chemical products to a base fluid, which can be classified according to the type of base fluid used in their formulation, categorized as water-based, oil-based, or gas-based fluids. These fluids exert numerous properties, but those related to rheological properties and maintaining the hydrostatic pressure gradient within the well are particularly noteworthy. Considering that drilling fluids are subject to fluid-rock interactions, contamination by salts from the geological formation can become a problem during the well exploration stage, potentially impacting the rheological characteristics and density of the fluid. An increase in the electrical conductivity of the fluid indicates the increase in salt presence in waterbased drilling fluids. However, the monitoring and control of this property have yet to be explored so far. This work proposed developing a multivariable fuzzy control system for correcting water-based drilling fluids' electrical conductivity, density, and apparent viscosity. The developed control technique was evaluated through an experimental unit for the preparation and monitoring of drilling fluids equipped with mixing and water storage tanks, a helical pump for fluid recirculation, a water dosing pump, and solid feeders. The unit's instrumentation includes sensors for measuring conductivity, temperature, level, flow rate, density, and apparent viscosity. The data acquisition system of the experimental unit consists of a National Instruments PLC using LabVIEW® supervisory software. The fuzzy control strategy was developed using the LabVIEW® software. For the performance evaluation of the controller, servo and regulatory control problems involving the properties of electrical conductivity, apparent viscosity, and density were proposed. Experimental tests were also conducted to evaluate the interaction between the fluid composition and the controlled variables. In bench experimental tests, it was observed that the evaluated properties have statistically significant interactions with each other. However, the increase in sodium chloride concentration does not alter the pseudoplasticity of the fluids. Regarding the performance of the fuzzy controller, the results demonstrated the effectiveness of the proposed strategy in maintaining the electrical conductivity, apparent viscosity, and density of the fluids, thus evidencing its potential use as a tool for multivariable control of the physical properties in drilling fluids. It was also possible to identify that electrical conductivity was the most sensitive variable in relation to density and apparent viscosity.
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spelling Martins, Ramon Araujohttp://lattes.cnpq.br/8393291064955150Freire, Fabio BentesJunior, Mauricio Bezerra de SouzaMeleiro, Luiz Augusto da Cruz2025-05-21T15:07:03Z2024https://deposita.ibict.br/handle/deposita/772ark:/80033/0013000002gh5In oil activities, during the drilling stage, the use of drilling fluids becomes essential for the success of the entire operation. These drilling fluids are constituted by adding chemical products to a base fluid, which can be classified according to the type of base fluid used in their formulation, categorized as water-based, oil-based, or gas-based fluids. These fluids exert numerous properties, but those related to rheological properties and maintaining the hydrostatic pressure gradient within the well are particularly noteworthy. Considering that drilling fluids are subject to fluid-rock interactions, contamination by salts from the geological formation can become a problem during the well exploration stage, potentially impacting the rheological characteristics and density of the fluid. An increase in the electrical conductivity of the fluid indicates the increase in salt presence in waterbased drilling fluids. However, the monitoring and control of this property have yet to be explored so far. This work proposed developing a multivariable fuzzy control system for correcting water-based drilling fluids' electrical conductivity, density, and apparent viscosity. The developed control technique was evaluated through an experimental unit for the preparation and monitoring of drilling fluids equipped with mixing and water storage tanks, a helical pump for fluid recirculation, a water dosing pump, and solid feeders. The unit's instrumentation includes sensors for measuring conductivity, temperature, level, flow rate, density, and apparent viscosity. The data acquisition system of the experimental unit consists of a National Instruments PLC using LabVIEW® supervisory software. The fuzzy control strategy was developed using the LabVIEW® software. For the performance evaluation of the controller, servo and regulatory control problems involving the properties of electrical conductivity, apparent viscosity, and density were proposed. Experimental tests were also conducted to evaluate the interaction between the fluid composition and the controlled variables. In bench experimental tests, it was observed that the evaluated properties have statistically significant interactions with each other. However, the increase in sodium chloride concentration does not alter the pseudoplasticity of the fluids. Regarding the performance of the fuzzy controller, the results demonstrated the effectiveness of the proposed strategy in maintaining the electrical conductivity, apparent viscosity, and density of the fluids, thus evidencing its potential use as a tool for multivariable control of the physical properties in drilling fluids. It was also possible to identify that electrical conductivity was the most sensitive variable in relation to density and apparent viscosity.Nas atividades petrolíferas, durante a etapa de perfuração, torna-se essencial a utilização dos fluidos de perfuração para o sucesso de toda a operação. Esses fluidos de perfuração são constituídos pela adição de produtos químicos a um fluido base, nos quais podem ser classificados de acordo com o tipo de fluido base empregado em sua formulação, podendo ser classificados como fluidos à base água, óleo ou gás. Inúmeras são as propriedades exercidas por esses fluidos, contudo destacam-se as que estão atreladas às propriedades reológicas e à manutenção do gradiente de pressão hidrostática no interior do poço. Tendo em vista que os fluidos de perfuração estão sujeitos a interações do tipo fluido-rocha, a contaminação por sais provenientes da formação geológica pode se tornar um problema durante a etapa de exploração do poço, podendo impactar as características reológicas e a densidade do fluido. O aumento da presença de sais em fluidos de perfuração à base água é indicado pelo aumento da condutividade elétrica do fluido. No entanto, o monitoramento e o controle dessa propriedade pouco foram explorados até o momento. A proposta desse trabalho foi desenvolver um sistema de controle fuzzy multivariável para a correção da condutividade elétrica, densidade e viscosidade aparente de fluidos de perfuração à base de água. A avaliação da técnica de controle desenvolvida foi validada por meio de uma unidade experimental de preparo e monitoramento de fluidos de perfuração equipada com tanques de mistura e armazenamento de água, bomba helicoidal para recirculação do fluido, bomba dosadora de água e alimentadores de sólidos. A instrumentação da unidade inclui sensores de medição de condutividade, temperatura, nível, vazão, densidade e viscosidade aparente. O sistema de aquisição de dados da unidade experimental é constituído de um CLP da National Instruments com o uso do software supervisório LabVIEW®. A estratégia de controle fuzzy foi desenvolvida no software LabVIEW®. Para avaliação do desempenho do controlador, foram propostos problemas de controle do tipo servo e regulatório, envolvendo as propriedades condutividade elétrica, viscosidade aparente e densidade. Também foram realizados testes experimentais para avaliar a interação entre a composição do fluido e as variáveis controladas. Nos testes experimentais de bancada observou-se que as propriedades avaliadas possuem interação estatisticamente significativas entre si, mas que o aumento da concentração de cloreto de sódio não altera a pseudoplasticidade dos fluidos. Em relação ao desempenho do controlador fuzzy, os resultados demonstraram a eficácia da estratégia proposta na manutenção da condutividade elétrica, viscosidade aparente e densidade dos fluidos, evidenciando assim seu potencial uso como ferramenta para o controle multivariável das propriedades físicas em fluidos de perfuração. Também foi possível identificar que a condutividade elétrica foi a variável de maior sensibilidade em relação a densidade e a viscosidade aparente.CAPESSudeste-1application/pdfporCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorPrograma de Pós-graduação em Engenharia QuímicaBrasilUniversidade Federal Rural do Rio de JaneiroControle fuzzyFluidos de perfuraçãoCondutividade elétricaViscosidade aparenteDensidadeFuzzy controlDrilling fluidsElectric conductivityApparent viscosityDensityTecnologia químicaControle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuraçãoControle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuraçãoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Comum do Brasil - Depositainstname:Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)instacron:IBICTTEXTDissertao_Ramon_A._Martins (1).pdf.txtWritten by FormatFilter org.dspace.app.mediafilter.TikaTextExtractionFilter on 2025-06-06T20:18:41Z (GMT).Extracted texttext/plain103581https://deposita.ibict.br/bitstreams/1662d357-1627-4dc2-b9d8-f5e6b1adf993/download5438270e21323f6bf61ecd159f0b5e3cMD53falseAnonymousREADTHUMBNAILDissertao_Ramon_A._Martins (1).pdf.jpgWritten by FormatFilter org.dspace.app.mediafilter.PDFBoxThumbnail on 2025-06-06T20:18:41Z (GMT).Generated Thumbnailimage/jpeg2778https://deposita.ibict.br/bitstreams/321b0acb-41d2-4c7e-8e45-853c59c28a2e/downloade79f611d9686352324d2929ce26d47b7MD54falseAnonymousREADLICENSElicense.txtWritten by org.dspace.content.LicenseUtilstext/plain; charset=utf-81867https://deposita.ibict.br/bitstreams/67d52089-4888-4c75-ba72-e958b93fdb9c/downloada7c148eec59885ba1ba6d14692be8465MD51falseAnonymousREADORIGINALDissertao_Ramon_A._Martins (1).pdf/dspace/deposita/upload/Dissertao_Ramon_A._Martins (1).pdfDissertação publicadaapplication/pdf3931529https://deposita.ibict.br/bitstreams/84051ff1-e451-4347-83c9-775cb7a5b67e/downloadacc38ff9c75406bd345e4dc3de5d451cMD52trueAnonymousREADdeposita/7722025-06-06T20:18:41.602Zopen.accessoai:deposita.ibict.br:deposita/772https://deposita.ibict.brRepositório ComumPUBhttp://deposita.ibict.br/oai/requestdeposita@ibict.bropendoar:46582025-06-06T20:18:41Repositório Comum do Brasil - Deposita - Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)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
dc.title.por.fl_str_mv Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
dc.title.alternative.por.fl_str_mv Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
title Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
spellingShingle Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
Martins, Ramon Araujo
Controle fuzzy
Fluidos de perfuração
Condutividade elétrica
Viscosidade aparente
Densidade
Fuzzy control
Drilling fluids
Electric conductivity
Apparent viscosity
Density
Tecnologia química
title_short Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
title_full Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
title_fullStr Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
title_full_unstemmed Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
title_sort Controle fuzzy multivariável para correção de propriedades físico-químicas de fluidos de perfuração
author Martins, Ramon Araujo
author_facet Martins, Ramon Araujo
author_role author
dc.contributor.authorLattes.por.fl_str_mv http://lattes.cnpq.br/8393291064955150
dc.contributor.author.fl_str_mv Martins, Ramon Araujo
dc.contributor.referee1.fl_str_mv Freire, Fabio Bentes
dc.contributor.referee2.fl_str_mv Junior, Mauricio Bezerra de Souza
dc.contributor.advisor1.fl_str_mv Meleiro, Luiz Augusto da Cruz
contributor_str_mv Freire, Fabio Bentes
Junior, Mauricio Bezerra de Souza
Meleiro, Luiz Augusto da Cruz
dc.subject.por.fl_str_mv Controle fuzzy
Fluidos de perfuração
Condutividade elétrica
Viscosidade aparente
Densidade
topic Controle fuzzy
Fluidos de perfuração
Condutividade elétrica
Viscosidade aparente
Densidade
Fuzzy control
Drilling fluids
Electric conductivity
Apparent viscosity
Density
Tecnologia química
dc.subject.eng.fl_str_mv Fuzzy control
Drilling fluids
Electric conductivity
Apparent viscosity
Density
dc.subject.cnpq.fl_str_mv Tecnologia química
description In oil activities, during the drilling stage, the use of drilling fluids becomes essential for the success of the entire operation. These drilling fluids are constituted by adding chemical products to a base fluid, which can be classified according to the type of base fluid used in their formulation, categorized as water-based, oil-based, or gas-based fluids. These fluids exert numerous properties, but those related to rheological properties and maintaining the hydrostatic pressure gradient within the well are particularly noteworthy. Considering that drilling fluids are subject to fluid-rock interactions, contamination by salts from the geological formation can become a problem during the well exploration stage, potentially impacting the rheological characteristics and density of the fluid. An increase in the electrical conductivity of the fluid indicates the increase in salt presence in waterbased drilling fluids. However, the monitoring and control of this property have yet to be explored so far. This work proposed developing a multivariable fuzzy control system for correcting water-based drilling fluids' electrical conductivity, density, and apparent viscosity. The developed control technique was evaluated through an experimental unit for the preparation and monitoring of drilling fluids equipped with mixing and water storage tanks, a helical pump for fluid recirculation, a water dosing pump, and solid feeders. The unit's instrumentation includes sensors for measuring conductivity, temperature, level, flow rate, density, and apparent viscosity. The data acquisition system of the experimental unit consists of a National Instruments PLC using LabVIEW® supervisory software. The fuzzy control strategy was developed using the LabVIEW® software. For the performance evaluation of the controller, servo and regulatory control problems involving the properties of electrical conductivity, apparent viscosity, and density were proposed. Experimental tests were also conducted to evaluate the interaction between the fluid composition and the controlled variables. In bench experimental tests, it was observed that the evaluated properties have statistically significant interactions with each other. However, the increase in sodium chloride concentration does not alter the pseudoplasticity of the fluids. Regarding the performance of the fuzzy controller, the results demonstrated the effectiveness of the proposed strategy in maintaining the electrical conductivity, apparent viscosity, and density of the fluids, thus evidencing its potential use as a tool for multivariable control of the physical properties in drilling fluids. It was also possible to identify that electrical conductivity was the most sensitive variable in relation to density and apparent viscosity.
publishDate 2024
dc.date.issued.fl_str_mv 2024
dc.date.accessioned.fl_str_mv 2025-05-21T15:07:03Z
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dc.publisher.program.fl_str_mv Programa de Pós-graduação em Engenharia Química
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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