Real-Time Detection of Karstification Hazards While Drilling in Carbonates

The nature of carbonate deposition can cause the development of unique geological features such as cavities and vugs called karsts. Encountering karsts while drilling can lead to serious consequences. To improve drilling safety in intervals of karstification, it is important to detect karsts as earl...

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Published in:Energies
Main Authors: Danil Maksimov, Alexey Pavlov, Sigbjørn Sangesland
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
T
Online Access:https://doi.org/10.3390/en15144951
https://doaj.org/article/093ef17bd2ea478e8828a763883354b5
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spelling ftdoajarticles:oai:doaj.org/article:093ef17bd2ea478e8828a763883354b5 2023-05-15T15:38:57+02:00 Real-Time Detection of Karstification Hazards While Drilling in Carbonates Danil Maksimov Alexey Pavlov Sigbjørn Sangesland 2022-07-01T00:00:00Z https://doi.org/10.3390/en15144951 https://doaj.org/article/093ef17bd2ea478e8828a763883354b5 EN eng MDPI AG https://www.mdpi.com/1996-1073/15/14/4951 https://doaj.org/toc/1996-1073 doi:10.3390/en15144951 1996-1073 https://doaj.org/article/093ef17bd2ea478e8828a763883354b5 Energies, Vol 15, Iss 4951, p 4951 (2022) carbonate karst geophysics hazards mapping karst prediction Technology T article 2022 ftdoajarticles https://doi.org/10.3390/en15144951 2022-12-30T22:10:05Z The nature of carbonate deposition can cause the development of unique geological features such as cavities and vugs called karsts. Encountering karsts while drilling can lead to serious consequences. To improve drilling safety in intervals of karstification, it is important to detect karsts as early as possible. The use of state-of-the-art geophysical methods cannot guarantee early or even real-time detection of karsts or karstification zones. In this paper we demonstrate, based on an analysis of 20 wells drilled in karstified carbonates in the Barents Sea, that a karst that is dangerous for drilling is often surrounded by one or more other karstification objects, thus forming a karstification zone. These zones can be detected in real time through certain patterns in drillstring mechanics and mud flow measurements. They can serve as indicators of intervals with a high likelihood of encountering karsts. The identified patterns corresponding to various karstification objects are summarized in a table and can be used by drilling engineers. Apart from that, these patterns can also be utilized for training machine learning algorithms for the automatic detection of karstification zones. Article in Journal/Newspaper Barents Sea Directory of Open Access Journals: DOAJ Articles Barents Sea Energies 15 14 4951
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic carbonate
karst
geophysics
hazards mapping
karst prediction
Technology
T
spellingShingle carbonate
karst
geophysics
hazards mapping
karst prediction
Technology
T
Danil Maksimov
Alexey Pavlov
Sigbjørn Sangesland
Real-Time Detection of Karstification Hazards While Drilling in Carbonates
topic_facet carbonate
karst
geophysics
hazards mapping
karst prediction
Technology
T
description The nature of carbonate deposition can cause the development of unique geological features such as cavities and vugs called karsts. Encountering karsts while drilling can lead to serious consequences. To improve drilling safety in intervals of karstification, it is important to detect karsts as early as possible. The use of state-of-the-art geophysical methods cannot guarantee early or even real-time detection of karsts or karstification zones. In this paper we demonstrate, based on an analysis of 20 wells drilled in karstified carbonates in the Barents Sea, that a karst that is dangerous for drilling is often surrounded by one or more other karstification objects, thus forming a karstification zone. These zones can be detected in real time through certain patterns in drillstring mechanics and mud flow measurements. They can serve as indicators of intervals with a high likelihood of encountering karsts. The identified patterns corresponding to various karstification objects are summarized in a table and can be used by drilling engineers. Apart from that, these patterns can also be utilized for training machine learning algorithms for the automatic detection of karstification zones.
format Article in Journal/Newspaper
author Danil Maksimov
Alexey Pavlov
Sigbjørn Sangesland
author_facet Danil Maksimov
Alexey Pavlov
Sigbjørn Sangesland
author_sort Danil Maksimov
title Real-Time Detection of Karstification Hazards While Drilling in Carbonates
title_short Real-Time Detection of Karstification Hazards While Drilling in Carbonates
title_full Real-Time Detection of Karstification Hazards While Drilling in Carbonates
title_fullStr Real-Time Detection of Karstification Hazards While Drilling in Carbonates
title_full_unstemmed Real-Time Detection of Karstification Hazards While Drilling in Carbonates
title_sort real-time detection of karstification hazards while drilling in carbonates
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/en15144951
https://doaj.org/article/093ef17bd2ea478e8828a763883354b5
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
genre_facet Barents Sea
op_source Energies, Vol 15, Iss 4951, p 4951 (2022)
op_relation https://www.mdpi.com/1996-1073/15/14/4951
https://doaj.org/toc/1996-1073
doi:10.3390/en15144951
1996-1073
https://doaj.org/article/093ef17bd2ea478e8828a763883354b5
op_doi https://doi.org/10.3390/en15144951
container_title Energies
container_volume 15
container_issue 14
container_start_page 4951
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