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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Bibliographic Details
Published in:Energies
Main Authors: Danil Maksimov, Alexey Pavlov, Sigbjørn Sangesland
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/en15144951
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spelling ftmdpi:oai:mdpi.com:/1996-1073/15/14/4951/ 2023-08-20T04:05:31+02:00 Real-Time Detection of Karstification Hazards While Drilling in Carbonates Danil Maksimov Alexey Pavlov Sigbjørn Sangesland 2022-07-06 application/pdf https://doi.org/10.3390/en15144951 EN eng Multidisciplinary Digital Publishing Institute H1: Petroleum Engineering https://dx.doi.org/10.3390/en15144951 https://creativecommons.org/licenses/by/4.0/ Energies; Volume 15; Issue 14; Pages: 4951 carbonate karst geophysics hazards mapping karst prediction Text 2022 ftmdpi https://doi.org/10.3390/en15144951 2023-08-01T05:37:56Z 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. Text Barents Sea MDPI Open Access Publishing Barents Sea Energies 15 14 4951
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic carbonate
karst
geophysics
hazards mapping
karst prediction
spellingShingle carbonate
karst
geophysics
hazards mapping
karst prediction
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
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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/en15144951
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
genre_facet Barents Sea
op_source Energies; Volume 15; Issue 14; Pages: 4951
op_relation H1: Petroleum Engineering
https://dx.doi.org/10.3390/en15144951
op_rights https://creativecommons.org/licenses/by/4.0/
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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