LAPSE:2023.34539
Published Article
LAPSE:2023.34539
Prediction and Early Detection of Karsts—An Overview of Methods and Technologies for Safer Drilling in Carbonates
Danil Maksimov, Alexey Pavlov, Sigbjørn Sangesland
April 27, 2023
The nature of carbonate deposition as well as diagenetic processes can cause the development of unique geological features such as cavities, vugs and fractures. These are called karsts. Encountering karsts while drilling can lead to serious consequences such as severe mud losses, drops of bottom hole assembly and gas kicks. To improve drilling safety in intervals of karstification, it is important to detect karsts as early as possible, preferably in advance. In this paper, we review methods and technologies that can be used for the prediction and early detection of karsts. In particular, we consider acoustic, resistivity, seismic and drilling-data methods. In addition to the inventions and technologies developed and published over the past 40 years, this paper identifies the advantages, limitations and gaps of these existing technologies and discusses the most promising methods for karst detection and prediction.
Keywords
carbonate, geophysics, hazards mapping, karst, karst prediction, looking ahead of the bit
Subject
Suggested Citation
Maksimov D, Pavlov A, Sangesland S. Prediction and Early Detection of Karsts—An Overview of Methods and Technologies for Safer Drilling in Carbonates. (2023). LAPSE:2023.34539
Author Affiliations
Maksimov D: Department of Geoscience and Petroleum, NTNU Norwegian University of Science and Technology, S.P. Andersens vei 15a, NO-7491 Trondheim, Norway [ORCID]
Pavlov A: Department of Geoscience and Petroleum, NTNU Norwegian University of Science and Technology, S.P. Andersens vei 15a, NO-7491 Trondheim, Norway
Sangesland S: Department of Geoscience and Petroleum, NTNU Norwegian University of Science and Technology, S.P. Andersens vei 15a, NO-7491 Trondheim, Norway
Journal Name
Energies
Volume
14
Issue
20
First Page
6517
Year
2021
Publication Date
2021-10-11
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14206517, Publication Type: Journal Article
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LAPSE:2023.34539
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doi:10.3390/en14206517
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