Development of soft sensors for permanent downhole gauges in deepwater oil wells

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dc.creatorLuis Antonio Aguirre
dc.creatorBruno Otávio Soares Teixeira
dc.creatorBruno Henrique Groenner Barbosa
dc.creatorAlex Furtado Teixeira
dc.creatorMario Cesar Mello Massa de Campos
dc.creatorEduardo Mazoni Andrade Marçal Mendes
dc.date.accessioned2025-04-03T16:26:30Z
dc.date.accessioned2025-09-09T01:18:06Z
dc.date.available2025-04-03T16:26:30Z
dc.date.issued2017
dc.identifier.doihttps://doi.org/10.1016/j.conengprac.2017.06.002
dc.identifier.issn0967-0661
dc.identifier.urihttps://hdl.handle.net/1843/81276
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofControl engineering practice
dc.rightsAcesso Restrito
dc.subjectProcesso estocástico
dc.subjectRedes neurais (Computação)
dc.subject.otherFIR, NARX and neural models are used
dc.subject.otherBlack-box and gray-box techniques are compared
dc.subject.otherMulti-model and filter banks are described
dc.titleDevelopment of soft sensors for permanent downhole gauges in deepwater oil wells
dc.typeArtigo de periódico
local.citation.epage99
local.citation.spage83
local.citation.volume65
local.description.resumoDownhole pressure is an important process variable in the operation of gas-lifted oil wells. The device installed in order to measure this variable is often called a Permanent Downhole Gauge (PDG). Replacing a faulty PDG is often not economically viable and to have an alternative estimate of the downhole pressure is an important goal. Using data from operating PDGs, this paper describes a number of issues dealt with in the development of soft sensors for several deepwater gas-lifted oil wells. Some of the tested models include nonlinear polynomials, neural networks, committee machines, unscented Kalman filters and filter banks. The variety of model classes used in addition to the diversity of oil wells considered brings to light some of the key-problems that have to be faced and reveal the strengths and weaknesses of each alternative solution. A major constraint throughout the work was the use of historical data, hence no specific tests were performed at any time. The aim of this work is to discuss the procedures, pros and cons of the tested solutions and to point to possible future directions of research.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S0967066117301284

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