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Design Principles Behind the Construction of an Autonomous Laboratory-Scale Drilling Rig
Open accessAbstract
In recent years, hot topics such as digitalization, machine learning, digital twin and big data have evolved from being envisions on the paper to state of art solutions, expected to revolutionize drilling efficiency in the industry. Drilling automation tomorrow is all about exploiting the current state of technologies available to the entire operation of drilling a well. Not only can drilling automation limit costs and reduce the risk to rig personnel and the environment, but they also give access to locations of considerable potential that previously have been regarded unsafe or uneconomical to operate in. There are however some challenges in keeping up with the ever-increasing pace of the development. For one, testing of novel and innovative solutions is often very expensive because of non-productive rig time during implementation, trial runs and data evaluation. Also, the modern technologies require extensive R&D before on-site testing can even commence. While on land-rigs, some of these costs and risks can be greatly minimized, many offshore solutions lack that luxury. This paper presents an overview of the design principles that go into the construction of a fully autonomous laboratory-scale drilling rig at the University of Stavanger. It aims at describing 1) the engineering principles involved to resemble full-scale drilling operations on the laboratory scale, 2) design considerations and components, 3) component requirements for the rig, 4) control system algorithms f…
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Digital twins monitor a production line.
“or a production line [42,43,46]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [42]
Citations
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References 5 · Cited by 20
Research works printed but not linked: 9
- Cayeux, E., Sui, D., Akisanmi, O., & Alani, O. (2017, April 5). Challenges in the Automation of a Laboratory-Scale Drilling Rig and Comparison with the Requirements for Full Scale Drilling Automation. Society of Petroleum Engineers. · DOI
- Cayeux, E., Skadsem, H.J., 2016. Modelling of the Dynamic Behavior of the Power Transmission of an Automatic Small Scale Drilling Rig. Paper OMAE2016-62523 presented at the OMAE conference in Trondheim, Norway, 25-30 June.
- Loeken, E., & Trulsen, A. (2017, May 29.). Bachelors Thesis: Construction, Design and Optimization of an Autonomous Laboratory-Scale Drilling Rig. University of Stavanger.
- Holsaeter, A. (2017, June 29.). Masters Thesis: Integration of modeling and drilling incident management of a realtime lab-scale autonomous drilling rig. University of Stavanger.
- Belayneh, M. A. (2017). Drill String Mechanics with Special Focus on Buckling, pages 5-56.
- Geekiyanage, S. Sui, D. & Aadnoy, B. (2018). Drilling Data Quality Management Case Study with Laboratory Scale Drilling Rig. Paper OMAE2018-77510, to be presented at the OMAE conference in 2018. · DOI
- Hamrick, Todd R. (2011). Optimization of Operating Parameters for Minimum Mechanical Specific Energy in Drilling. MSc Thesis, (West Virginia University, US) · DOI
- Akisanmi, O. A (2016, June 15.). Masters Thesis: Automatic Management of Rate of Penetration in Heterogeneous Formation Rocks. University of Stavanger.
- Meirovitch, L. (1967). Analytical methods in vibrations. New York: Macmillan, pp.47-51 and 63-65.
Metadata
- Authors
- Loeken, E. A., Trulsen, A., Holsaeter, A. M., Wiktorski, E., Sui, D., & Ewald, R.
- Affiliations
- University of Stavanger (NO)
- International Research Institute of Stavanger (NO)
- Corresponding author
- Sui, Dan
- Ewald, Robert
- Venue
- IFAC-PapersOnLine
- Publisher
- Elsevier BV
- Published
- 2018
- Volume
- 51
- Issue
- 8
- Pages
- 62-69
- ISSN
- 2405-8963 (ISSN-L)
- OpenAlex
- W2884864660
- Cited by
- 20
- References
- 5
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 1 · 2019: 6
- FWCI
- 2.20
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- IFAC-PapersOnLine (publishedVersion)
- Topics
- Physical Sciences › Energy › Fuel Technology › Drilling and Well Engineering
- Physical Sciences › Engineering › Ocean Engineering › Offshore Engineering and Technologies
- Physical Sciences › Energy › Fuel Technology › Oil and Gas Production Techniques
- Keywords
- drilling automation, drilling parameter optimization, drill string dynamics, control algorithms, offshore drilling, digital twin, drilling cost reduction
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