Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments
Managed Pressure Drilling (MPD) systems have transformed drilling operations by enabling precise wellbore pressure control, particularly in challenging conditions. Automatic MPD, leveraging advanced choke valve mechanisms, effectively mitigates pressure fluctuations caused by drill string oscillatio...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10963737/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850144789270364160 |
|---|---|
| author | Atif Rehman Rimsha Ghias Iftikhar Ahmad Hammad Iqbal Sherazi |
| author_facet | Atif Rehman Rimsha Ghias Iftikhar Ahmad Hammad Iqbal Sherazi |
| author_sort | Atif Rehman |
| collection | DOAJ |
| description | Managed Pressure Drilling (MPD) systems have transformed drilling operations by enabling precise wellbore pressure control, particularly in challenging conditions. Automatic MPD, leveraging advanced choke valve mechanisms, effectively mitigates pressure fluctuations caused by drill string oscillations induced by Heave Motion. This study introduces advanced nonlinear control strategies, including Sliding Mode Control (SMC) and Super-Twisting Sliding Mode Control (STSMC), to enhance pressure regulation. Controller gains are optimized using an improved Grey Wolf Optimization algorithm, targeting the minimization of the Integral Time Absolute Error. Stability of the controllers is rigorously analyzed through Lyapunov criteria. Comprehensive performance evaluations via MATLAB/Simulink simulations, complemented by real-time validation using a C2000 Delfino MCU F28379D Launchpad, demonstrate the robustness and efficacy of the proposed control methodologies. |
| format | Article |
| id | doaj-art-5ffaf6ffed244665a7881fd31fcebb42 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-5ffaf6ffed244665a7881fd31fcebb422025-08-20T02:28:15ZengIEEEIEEE Access2169-35362025-01-0113791377914910.1109/ACCESS.2025.356009510963737Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling EnvironmentsAtif Rehman0https://orcid.org/0009-0001-4725-648XRimsha Ghias1https://orcid.org/0009-0003-8208-0031Iftikhar Ahmad2https://orcid.org/0000-0002-2197-9890Hammad Iqbal Sherazi3School of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology (NUST), Islamabad, PakistanSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, PakistanSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, PakistanDepartment of Electrical Engineering, College of Engineering, Qassim University, Buraydah, Saudi ArabiaManaged Pressure Drilling (MPD) systems have transformed drilling operations by enabling precise wellbore pressure control, particularly in challenging conditions. Automatic MPD, leveraging advanced choke valve mechanisms, effectively mitigates pressure fluctuations caused by drill string oscillations induced by Heave Motion. This study introduces advanced nonlinear control strategies, including Sliding Mode Control (SMC) and Super-Twisting Sliding Mode Control (STSMC), to enhance pressure regulation. Controller gains are optimized using an improved Grey Wolf Optimization algorithm, targeting the minimization of the Integral Time Absolute Error. Stability of the controllers is rigorously analyzed through Lyapunov criteria. Comprehensive performance evaluations via MATLAB/Simulink simulations, complemented by real-time validation using a C2000 Delfino MCU F28379D Launchpad, demonstrate the robustness and efficacy of the proposed control methodologies.https://ieeexplore.ieee.org/document/10963737/Advanced drilling techniquesdynamic pressure regulationGrey Wolf optimization algorithmnonlinear control strategies |
| spellingShingle | Atif Rehman Rimsha Ghias Iftikhar Ahmad Hammad Iqbal Sherazi Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments IEEE Access Advanced drilling techniques dynamic pressure regulation Grey Wolf optimization algorithm nonlinear control strategies |
| title | Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments |
| title_full | Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments |
| title_fullStr | Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments |
| title_full_unstemmed | Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments |
| title_short | Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments |
| title_sort | robust control frameworks for heave disturbance suppression in offshore managed pressure drilling environments |
| topic | Advanced drilling techniques dynamic pressure regulation Grey Wolf optimization algorithm nonlinear control strategies |
| url | https://ieeexplore.ieee.org/document/10963737/ |
| work_keys_str_mv | AT atifrehman robustcontrolframeworksforheavedisturbancesuppressioninoffshoremanagedpressuredrillingenvironments AT rimshaghias robustcontrolframeworksforheavedisturbancesuppressioninoffshoremanagedpressuredrillingenvironments AT iftikharahmad robustcontrolframeworksforheavedisturbancesuppressioninoffshoremanagedpressuredrillingenvironments AT hammadiqbalsherazi robustcontrolframeworksforheavedisturbancesuppressioninoffshoremanagedpressuredrillingenvironments |