IMC Control of Oil Wells Pressure during Drilling Modeled as An Integrative Process with Time Delay

S. Carlos, R. Victor, R. Karina

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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 the bottom of wells during drilling operations based Managed Pressure Drilling (MPD). MPD adds a control valve in the drilling system to have another manipulate variable on the well pressure. In the first part of this work, there was obtained a mathematical model of the process, which is founded on fluid mechanics (state equation, the Reynolds transport equation: continuity and momentum). The dynamic process presents an integrating element, which makes the process dynamics difficult to handle because any disturbance may alter its stability. Still it becomes more complex in the presence of a delay time in the system model. In the second part, was designed an IMC controller for controlling the integrative process with the addition of time delay looking for the best stability and robustness of the process. Finally, the proposed controller is performed by simulations that show its feasibility in the presence of common problems during drilling, which were tested as disturbances in closed loop system (loss circulation fluid, influxes, pipe addition and loss of pump power). The performance of the process in closed loop is compared with a classical PI.

Idioma originalInglés
Título de la publicación alojadaProceedings - 5th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2021
EditoresDan Zhang
EditorialAssociation for Computing Machinery
Páginas63-69
Número de páginas7
ISBN (versión digital)9781450388870
DOI
EstadoPublicada - 14 ene. 2021
Evento5th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2021 - Virtual, Online, China
Duración: 14 ene. 202116 ene. 2021

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia5th International Conference on Control Engineering and Artificial Intelligence, CCEAI 2021
País/TerritorioChina
CiudadVirtual, Online
Período14/01/2116/01/21

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