OPTIMIZING THE RATE OF PENETRATION (ROP) IN ROTARY DRILLING SYSTEMS BY USING NEW ROBUST MODEL PREDICTIVE CONTROL

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ALIASGHARPOUR MOHAMMAD AMIN; SALAHSHOOR KARIM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Modares Mechanical Engineering Year:2017 | Volume:17 | Issue:5 Page(s): 413-418

Download Full-Text

Persian Verion

View:

878

Download:

Cites:

Information Journal Paper

Title

OPTIMIZING THE RATE OF PENETRATION (ROP) IN ROTARY DRILLING SYSTEMS BY USING NEW ROBUST MODEL PREDICTIVE CONTROL

Author(s)

ALIASGHARPOUR MOHAMMAD AMIN | SALAHSHOOR KARIM | Issue Writer Certificate

Keywords

MODEL PREDICTIVE CONTROLQ1

OPTIMAL CONTROLQ2

RATE OF PENETRATION (ROP)Q1

ROBUST CONTROLQ1

ROTARY DRILLING CONTROLQ1

Abstract

Drilling is one of the most critical mechanical process in oil and gas industry and its operational parameters should be properly tuned to reduce drilling time and consequently enhance efficiency of the drilling process. The main objective in this paper is to present a new method to regulate and optimize the Rate of Penetration (ROP) of the system with top drive rotary motor torque in drill string. The paper presents a formulation of a robust receding horizon controller to track piecewise constant references. To achieve this, a tube-based Robust MODEL PREDICTIVE CONTROL (RMPC) is introduced in which the tubes are based on reachable sets. A drilling system is assumed as a test bed for evaluating the performance of the proposed control scheme. The assumed drilling system is modeled as a linear system with additive bounded uncertainties by using Bourgoyne and Young model which is known as a complete mathematical drilling model. The most important novelty of this manuscript corresponds to integration of both tracking and regulatory objectives in one control framework. Simulations demonstrate the effectiveness of the stability and robust characteristics of the proposed RMPC scheme in terms of its stability and robust characteristics with respect to the usual control approaches.

Cites

No record.

References

No record.

Cite

APA: Copy

ALIASGHARPOUR, MOHAMMAD AMIN, & SALAHSHOOR, KARIM. (2017). OPTIMIZING THE RATE OF PENETRATION (ROP) IN ROTARY DRILLING SYSTEMS BY USING NEW ROBUST MODEL PREDICTIVE CONTROL. MODARES MECHANICAL ENGINEERING, 17(5 ), 413-418. SID. https://sid.ir/paper/179181/en

Vancouver: Copy

ALIASGHARPOUR MOHAMMAD AMIN, SALAHSHOOR KARIM. OPTIMIZING THE RATE OF PENETRATION (ROP) IN ROTARY DRILLING SYSTEMS BY USING NEW ROBUST MODEL PREDICTIVE CONTROL. MODARES MECHANICAL ENGINEERING[Internet]. 2017;17(5 ):413-418. Available from: https://sid.ir/paper/179181/en

IEEE: Copy

MOHAMMAD AMIN ALIASGHARPOUR, and KARIM SALAHSHOOR, “OPTIMIZING THE RATE OF PENETRATION (ROP) IN ROTARY DRILLING SYSTEMS BY USING NEW ROBUST MODEL PREDICTIVE CONTROL,” MODARES MECHANICAL ENGINEERING, vol. 17, no. 5 , pp. 413–418, 2017, [Online]. Available: https://sid.ir/paper/179181/en

Related Journal Papers