Iranian Journal of Oil and Gas Science and Technology
Quarterly Publication

Managed Pressure Drilling Using Integrated Process Control

Document Type : Research Paper

Authors

Mahdi Imanian 1
Mahdi Karbasian 2
Aazam Ghassemi 3

1 Ph.D. Student, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

2 Associate Professor, Department of Industrial Engineering, Malek Ashtar University of Technology, Shahinshahr, Iran

3 Assistant Professor, Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

https://doi.org/10.22050/ijogst.2020.177554.1499
Abstract
Control of wellbore pressure during drilling operations has always been important in the oil industry as this can prevent the possibility of well blowout. The present research employs a combination of automatic process control and statistical process control for the first time for the identification, monitoring, and control of both random and special causes in drilling operations. To this end, by using automatic process control, control charts are applied to the output of the controlled process; subsequently, the points which are outside the predefined control limits are identified. This method is capable of using controllable input variables not used in automatic process control, such as changes in the mud weight, to fully control the process. Due to the dynamic nature of the process, adaptive model-based controllers have replaced feedback methods in automatic process control. Control charts have also been used to compare the performance of different automatic process control approaches. Based on this new criterion, the fuzzy adaptive approach is shown to have good performance in automatic process control. The results indicate that this approach can improve the limits of the automatic process control method by using statistical process control for controlling the bit pressure in an acceptable range.

Keywords

Automatic Process Control
Integrated Process Control
Managed Pressure Drilling
Statistical Process Control
Well Blowout
Subjects
References
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  • Receive Date 28 November 2019
  • Revise Date 10 January 2020
  • Accept Date 12 February 2020

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