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Controlling oil production in smart wells by MPC strategy with reinforcement learning
(Scopus, 2010)
This work presents the modeling and development of a methodology based on Model Predictive Control - MPC that uses a machine learning model, based on Reinforcement Learning, as the method for searching the optimal control ...
IMC Control of Oil Wells Pressure during Drilling Modeled as An Integrative Process with Time Delay
(2021-01-14)
Controlling the pressure of oil wells during drilling can be one of the most complex and dangerous processes operating stage. This study proposes the design of an internal model controller (IMC) to control the pressure at ...
On the properness of an impulsive control extension of dynamic optimization problems
(Edp Sciences S A, 2015-07-01)
This article investigates the properness, or well-posedness, of impulsive extension of a conventional optimal control problem. This includes both well-posedness of the solution to impulsive control systems arising as result ...
Application of ARX neural networks to model the rate of penetration of petroleum wells drilling
(2006-12-01)
Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates ...
Application of ARX neural networks to model the rate of penetration of petroleum wells drilling
(2006-12-01)
Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates ...
A genetic neuro-model reference adaptive controller for petroleum wells drilling operations
(2007-12-01)
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 ...
A genetic neuro-model reference adaptive controller for petroleum wells drilling operations
(2007-12-01)
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 ...
Experimental evaluation of combined model reference adaptive controller in a pH regulation process
(WILEY, 2002)
An experimental evaluation of the combined model reference adaptive control (CMRAC) is presented in this paper. This adaptive control scheme was used to control a relatively complex process like the pH of a solution in a ...
Free time and mixed constrained optimal control problems
(2010-12-01)
We consider free time optimal control problems with pointwise set control constraints u(t) ∈ U(t). Here we derive necessary conditions of optimality for those problem where the set U(t) is defined by equality and inequality ...