**Page description appears here**

“Automated drilling algorithms implementation on a laboratory drilling rig”

Authors: Erik Andreas Løken, Jens Løkkevik and Dan Sui,
Affiliation: University of Stavanger
Reference: 2020, Vol 41, No 1, pp. 1-11.

     Valid XHTML 1.0 Strict

Keywords: Drilling rig, drilling automation, drilling algorithm, drilling optimization

Abstract: Considering the state of art technology that exists today and the significant resources that are being invested into the technology of tomorrow, an idea of intelligent and fully automated machineries working on a drilling floor that is capable of consistently selecting best decisions or predictions based on realtime information available and providing drillers and operators with such recommendations, becomes closer to a reality every day. This work shows results of the research carried out on the topic of drilling automation. Its objectives are to design and test proof of concept technologies conducted on a laboratory-scale autonomous drilling rig developed at University of Stavanger, Norway. Main contribution of the study is on drilling speed (ROP) optimization with considering operational safety to personnel and environment (HSE) and drilling efficiency along with a digitized drilling program for directional drilling. The case studies are presented to show the different scenarios for drilling vertical wells and inclined wells.

PDF PDF (3359 Kb)        DOI: 10.4173/mic.2020.1.1

[1] Bello, e.a. (2015). Bello, e, a. Application Of Artificial Intelligence Methods In Drilling System Design And Operations: A Review Of The State Of The Art. Journal of Artificial Intelligence and Soft Computing Research, 5(2). pages 121--139. doi:10.1515/jaiscr-2015-0024
[2] Geekiyanage, S. C.H., Loeken, E.A., and Sui, D. (2019). Geekiyanage, S, C.H., Loeken, E.A., and Sui, D. Draft: Architectures and Algorithms of an Autonomous Small-Scale Drilling Agent. Submitted for review, Elsevier. .
[3] Guggedal, C. and Steinsto, M. (2019). Guggedal, C, and Steinsto, M. Control System Architecture and API Integration. Bachelor thesis, University of Stavanger. .
[4] Hagen, H., Jakobsen, A., and Khadisov, M. (2018). Hagen, H, , Jakobsen, A., and Khadisov, M. Laboratory Drilling Rig Construction, Testing and Modeling for Optimization and Problem Management. Bachelor thesis, University of Stavanger. .
[5] Hjelm, O.A. and Nilsen, S.J. (2018). Hjelm, O, A. and Nilsen, S.J. Further Development and Testing of an Autonomous Drilling Rig and Control Algorithms for Improved Drilling Performance. Master's thesis, University of Stavanger. .
[6] Loken, E.A. and Trulsen, A. (2017). Loken, E, A. and Trulsen, A. Construction, Design and Optimization of an Autonomous Laboratory-Scale Drilling Rig. Bachelor thesis, University of Stavanger. .
[7] Sand, E.L. (2018). Sand, E, L. Design and implementation of a control system for a fully automated drilling rig. Bachelor thesis, University of Stavanger. .

  title={{Automated drilling algorithms implementation on a laboratory drilling rig}},
  author={Løken, Erik Andreas and Løkkevik, Jens and Sui, Dan},
  journal={Modeling, Identification and Control},
  publisher={Norwegian Society of Automatic Control}


Oct 2018: MIC reaches 3000 DOI Forward Links. The last 1000 took 2 years and 5 months.

May 2016: MIC reaches 2000 DOI Forward Links. The first 1000 took 34 years, the next 1000 took 2.5 years.

July 2015: MIC's new impact factor is now 0.778. The number of papers published in 2014 was 21 compared to 15 in 2013, which partially explains the small decrease in impact factor.

Aug 2014: For the 3rd year in a row MIC's impact factor increases. It is now 0.826.

Dec 2013: New database-driven web-design enabling extended statistics. Article number 500 is published and MIC reaches 1000 DOI Forward Links.

Jan 2012: Follow MIC on your smartphone by using the RSS feed.


July 2011: MIC passes 1000 ISI Web of Science citations.

Mar 2010: MIC is now indexed by DOAJ and has received the Sparc Seal seal for open access journals.

Dec 2009: A MIC group is created at LinkedIn and Twitter.

Oct 2009: MIC is now fully updated in ISI Web of Knowledge.