Search Results - "Campos, Mario C. M."
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1
A Modified Algorithm for Training and Optimize RBF Neural Networks Applied to Sensor Measurements Validation
Published in IEEE sensors journal (01-09-2021)“…This paper presents the use of a radial basis function artificial neural network to estimate sensor readings exploring the analytical redundancy via…”
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Journal Article -
2
Model-free adaptive filter to mitigate actuator wear
Published in ISA transactions (01-10-2022)“…The present article introduces an adaptive filter of statistical basis developed for closed-loop control applications, whose goal is to reduce actuator wear…”
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3
Automatic control of flow gathering networks: A mixed-integer receding horizon control applied to an onshore oilfield
Published in Control engineering practice (01-05-2019)“…This paper presents a real-world application of a mixed-integer receding horizon control in an onshore oil gathering network. The objective is to stabilize the…”
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4
Oil production increase in unstable gas lift systems through nonlinear model predictive control
Published in Journal of process control (01-09-2018)“…Oil production employing gas lift techniques enable the production of no natural flow wells and supply the energy lost in the reservoir caused by the field…”
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10% increase in oil production through a field applied APC in a Petrobras ultra-deepwater well
Published in Control engineering practice (01-10-2019)“…As an offshore oil well ages, it is common for the production system to face multiphase flow problems such as limit cycles. This phenomenon, known as slugging…”
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Development of soft sensors for permanent downhole Gauges in deepwater oil wells
Published in Control engineering practice (01-08-2017)“…Downhole 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…”
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Fast Offshore Wells Model (FOWM): A practical dynamic model for multiphase oil production systems in deepwater and ultra-deepwater scenarios
Published in Computers & chemical engineering (06-04-2017)“…This work describes a simplified dynamic model for control and real time applications in offshore deepwater and ultra-deepwater petroleum production systems…”
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RBF Neural Networks Modeling Methodology Compared to Non-Parametric Auto-Associative Models for Condition Monitoring Applications
Published in IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (01-10-2018)“…This work presents the use of radial basis function artificial neural network to estimate the sensors readings, exploring the analytical redundancy via auto…”
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Conference Proceeding -
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Advanced control applied to a gas compression system of an offshore platform: From modeling to related system infrastructure
Published in Journal of petroleum science & engineering (01-01-2022)“…This work presents the development of an advanced control strategy using Model Predictive Control (MPC) for controlling the gas compression system of an…”
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Journal Article -
10
Virtual flow metering of oil wells for a pre-salt field
Published in Journal of petroleum science & engineering (01-08-2021)“…The flow rate values reported in real time, for an oil and gas production unit, refer to the total amount produced by that unit. On the other hand, data…”
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Journal Article -
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DESIGN AND IMPLEMENTATION OF A NEURAL NETWORK BASED SOFT-SENSOR TO INFER SULFUR CONTENT IN A BRAZILIAN DIESEL HYDROTREATING UNIT
Published in Chemical engineering transactions (01-01-2009)Get full text
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APPLICATION OF A MODEL-BASED FAULT DETECTION AND DIAGNOSIS SYSTEM TO A HYDROTREATING REACTOR
Published in Chemical engineering transactions (01-01-2009)Get full text
Journal Article