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Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells

Drilling Non-Productive Time (NPT) is loss time incurred when drilling activity has to be stopped or rate of penetration is very low during a drilling operation. Drilling NPT results in drilling cost overruns and delay in drilling schedule. Presently, there are several methods which are being deploy...

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Main Author: Munusamy, Balasharmila Rao
Format: Thesis
Language:English
Published: 2023
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/101745/1/BalasharmilaRaoMunusamySCShE2023.pdf.pdf
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spelling my.utm.1017452023-07-09T01:45:38Z http://eprints.utm.my/id/eprint/101745/ Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells Munusamy, Balasharmila Rao TP Chemical technology Drilling Non-Productive Time (NPT) is loss time incurred when drilling activity has to be stopped or rate of penetration is very low during a drilling operation. Drilling NPT results in drilling cost overruns and delay in drilling schedule. Presently, there are several methods which are being deployed to mitigate drilling NPT and these methods would fall into either the anticipative or targeted category. Anticipative category focuses on development of model, database, and risk management framework to enhance information sharing and decision-making among drilling operation stakeholder while the targeted category revolves around deployment of surgical solutions which focus on one or a handful of drilling NPT categories such as wellbore instability, equipment failure etc. Both categories generally lack Drilling NPT severity assessment, validation of Root Causes and derivation of Root Cause Analysis-centric solutions, resulting in knee-jerk reactions to Drilling NPT mitigation. This study, therefore, aims to develop a Drilling NPT reduction framework using Lean Six Sigma (a process improvement methodology) based on retrospective drilling data from Buntal Exploration Wells. Lean Six Sigma advocates data-driven analytics and decision-making in solving operational problems. The drilling NPT reduction framework will follow the DMAIC (Define, Measure, Analyse, Improve and Control) stage-gate model of Lean Six Sigma. In the case of Buntal Exploration Wells, it is observed that the drilling process is not capable from operational and financial standpoints in meeting the Drilling Plan requirements (as illustrated by Process Capability Indexes which are lower than 1.0). In view of retrospective nature of the available drilling data, root causes are validated graphically and qualitatively with equipment failure appearing as the leading contributor of Drilling NPT. Potential solutions are then ideated based on the validated root causes or Vital Few Factors. It is expected that the Drilling NPT reduction framework will pave way for future research through capitalization on quantitative data and continuous feedback from the drilling fraternity. 2023 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/101745/1/BalasharmilaRaoMunusamySCShE2023.pdf.pdf Munusamy, Balasharmila Rao (2023) Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells. Masters thesis, Universiti Teknologi Malaysia. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:152259
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Munusamy, Balasharmila Rao
Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells
description Drilling Non-Productive Time (NPT) is loss time incurred when drilling activity has to be stopped or rate of penetration is very low during a drilling operation. Drilling NPT results in drilling cost overruns and delay in drilling schedule. Presently, there are several methods which are being deployed to mitigate drilling NPT and these methods would fall into either the anticipative or targeted category. Anticipative category focuses on development of model, database, and risk management framework to enhance information sharing and decision-making among drilling operation stakeholder while the targeted category revolves around deployment of surgical solutions which focus on one or a handful of drilling NPT categories such as wellbore instability, equipment failure etc. Both categories generally lack Drilling NPT severity assessment, validation of Root Causes and derivation of Root Cause Analysis-centric solutions, resulting in knee-jerk reactions to Drilling NPT mitigation. This study, therefore, aims to develop a Drilling NPT reduction framework using Lean Six Sigma (a process improvement methodology) based on retrospective drilling data from Buntal Exploration Wells. Lean Six Sigma advocates data-driven analytics and decision-making in solving operational problems. The drilling NPT reduction framework will follow the DMAIC (Define, Measure, Analyse, Improve and Control) stage-gate model of Lean Six Sigma. In the case of Buntal Exploration Wells, it is observed that the drilling process is not capable from operational and financial standpoints in meeting the Drilling Plan requirements (as illustrated by Process Capability Indexes which are lower than 1.0). In view of retrospective nature of the available drilling data, root causes are validated graphically and qualitatively with equipment failure appearing as the leading contributor of Drilling NPT. Potential solutions are then ideated based on the validated root causes or Vital Few Factors. It is expected that the Drilling NPT reduction framework will pave way for future research through capitalization on quantitative data and continuous feedback from the drilling fraternity.
format Thesis
author Munusamy, Balasharmila Rao
author_facet Munusamy, Balasharmila Rao
author_sort Munusamy, Balasharmila Rao
title Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells
title_short Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells
title_full Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells
title_fullStr Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells
title_full_unstemmed Development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells
title_sort development of drilling non-productive time reduction framework using lean six sigma methodology for buntal exploration wells
publishDate 2023
url http://eprints.utm.my/id/eprint/101745/1/BalasharmilaRaoMunusamySCShE2023.pdf.pdf
http://eprints.utm.my/id/eprint/101745/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:152259
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score 13.211869

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