Developments and experimental tests on a laboratory-scale drilling automation system

Abstract This paper presents the work that has gone into optimizing drilling performances on a laboratory-scale drilling rig, capable of drilling through rock samples in possible shortest time with preventing damages to devices for the sake of drilling costs and safety. The rig is fully functional,...

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Main Authors: Magomed Khadisov, Håkon Hagen, Andreas Jakobsen, Dan Sui
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Online Access:http://link.springer.com/article/10.1007/s13202-019-00767-6
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author Magomed Khadisov
Håkon Hagen
Andreas Jakobsen
Dan Sui
author_facet Magomed Khadisov
Håkon Hagen
Andreas Jakobsen
Dan Sui
author_sort Magomed Khadisov
collection DOAJ
description Abstract This paper presents the work that has gone into optimizing drilling performances on a laboratory-scale drilling rig, capable of drilling through rock samples in possible shortest time with preventing damages to devices for the sake of drilling costs and safety. The rig is fully functional, and we conducted successful experiments in both manual and autonomous modes. In this study, we focus on testings on drilling optimizations, failures, advancements of understanding of operational limits, and implementations of these boundaries to create a well-designed and controlled drilling rig. Case studies show that good results have been achieved in terms of optimizing drilling parameters and receiving the possible highest drilling speed when drilling different formations.
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spelling doaj.art-527a05a85460468993c71db3575b325c2022-12-22T03:52:33ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662019-08-0110260562110.1007/s13202-019-00767-6Developments and experimental tests on a laboratory-scale drilling automation systemMagomed Khadisov0Håkon Hagen1Andreas Jakobsen2Dan Sui3Energy and Petroleum Engineering Department, University of StavangerEnergy and Petroleum Engineering Department, University of StavangerEnergy and Petroleum Engineering Department, University of StavangerEnergy and Petroleum Engineering Department, University of StavangerAbstract This paper presents the work that has gone into optimizing drilling performances on a laboratory-scale drilling rig, capable of drilling through rock samples in possible shortest time with preventing damages to devices for the sake of drilling costs and safety. The rig is fully functional, and we conducted successful experiments in both manual and autonomous modes. In this study, we focus on testings on drilling optimizations, failures, advancements of understanding of operational limits, and implementations of these boundaries to create a well-designed and controlled drilling rig. Case studies show that good results have been achieved in terms of optimizing drilling parameters and receiving the possible highest drilling speed when drilling different formations.http://link.springer.com/article/10.1007/s13202-019-00767-6Drilling rigDrilling automationDrilling dataDrilling optimization
spellingShingle Magomed Khadisov
Håkon Hagen
Andreas Jakobsen
Dan Sui
Developments and experimental tests on a laboratory-scale drilling automation system
Journal of Petroleum Exploration and Production Technology
Drilling rig
Drilling automation
Drilling data
Drilling optimization
title Developments and experimental tests on a laboratory-scale drilling automation system
title_full Developments and experimental tests on a laboratory-scale drilling automation system
title_fullStr Developments and experimental tests on a laboratory-scale drilling automation system
title_full_unstemmed Developments and experimental tests on a laboratory-scale drilling automation system
title_short Developments and experimental tests on a laboratory-scale drilling automation system
title_sort developments and experimental tests on a laboratory scale drilling automation system
topic Drilling rig
Drilling automation
Drilling data
Drilling optimization
url http://link.springer.com/article/10.1007/s13202-019-00767-6
work_keys_str_mv AT magomedkhadisov developmentsandexperimentaltestsonalaboratoryscaledrillingautomationsystem
AT hakonhagen developmentsandexperimentaltestsonalaboratoryscaledrillingautomationsystem
AT andreasjakobsen developmentsandexperimentaltestsonalaboratoryscaledrillingautomationsystem
AT dansui developmentsandexperimentaltestsonalaboratoryscaledrillingautomationsystem