Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran
Abstract This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary aim is to enhance fracture classification accuracy by integrating the k-means algorithm with...
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Academia Brasileira de Ciências
2025-07-01
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| Series: | Anais da Academia Brasileira de Ciências |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025000301103&lng=en&tlng=en |
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| author | HAJAR KAZEMI KOUROS YAZDJERDI ABDOLMAJID ASADI MOHAMMAD REZA MOZAFARI |
| author_facet | HAJAR KAZEMI KOUROS YAZDJERDI ABDOLMAJID ASADI MOHAMMAD REZA MOZAFARI |
| author_sort | HAJAR KAZEMI |
| collection | DOAJ |
| description | Abstract This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary aim is to enhance fracture classification accuracy by integrating the k-means algorithm with a genetic algorithm to cluster joints and faults. The study employs a combination of traditional field methods, library research, and advanced mathematical techniques, including digital elevation models and satellite imagery, to identify and classify fractures. The analysis reveals two main fracture trends: one oriented N20E, parallel to the anticline axis, and the other N80W, perpendicular to the axis. These trends are consistent with regional tectonic forces, specifically the structural characteristics of the Zagros orogenic belt. Additionally, shear-tensile joints are identified, reflecting the impact of local faulting activities on fracture formation. The results demonstrate that the combined use of k-means and genetic algorithms offers significant advantages over traditional fracture analysis methods, particularly in terms of improving clustering accuracy and reducing errors associated with complex geological settings. This approach highlights the importance of integrating advanced mathematical techniques in geological studies, contributing valuable insights to the petroleum industry and enhancing the understanding of fracture systems in structurally complex environments. |
| format | Article |
| id | doaj-art-cc3e8aa0c95f4d99b05f7a4ad3ac583d |
| institution | Matheson Library |
| issn | 1678-2690 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Academia Brasileira de Ciências |
| record_format | Article |
| series | Anais da Academia Brasileira de Ciências |
| spelling | doaj-art-cc3e8aa0c95f4d99b05f7a4ad3ac583d2025-07-15T07:42:23ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902025-07-0197310.1590/0001-3765202520250043Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, IranHAJAR KAZEMIhttps://orcid.org/0009-0005-0572-298XKOUROS YAZDJERDIhttps://orcid.org/0000-0002-4490-527XABDOLMAJID ASADIhttps://orcid.org/0009-0005-4713-3155MOHAMMAD REZA MOZAFARIhttps://orcid.org/0000-0001-8297-640XAbstract This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary aim is to enhance fracture classification accuracy by integrating the k-means algorithm with a genetic algorithm to cluster joints and faults. The study employs a combination of traditional field methods, library research, and advanced mathematical techniques, including digital elevation models and satellite imagery, to identify and classify fractures. The analysis reveals two main fracture trends: one oriented N20E, parallel to the anticline axis, and the other N80W, perpendicular to the axis. These trends are consistent with regional tectonic forces, specifically the structural characteristics of the Zagros orogenic belt. Additionally, shear-tensile joints are identified, reflecting the impact of local faulting activities on fracture formation. The results demonstrate that the combined use of k-means and genetic algorithms offers significant advantages over traditional fracture analysis methods, particularly in terms of improving clustering accuracy and reducing errors associated with complex geological settings. This approach highlights the importance of integrating advanced mathematical techniques in geological studies, contributing valuable insights to the petroleum industry and enhancing the understanding of fracture systems in structurally complex environments.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025000301103&lng=en&tlng=enFracture ClassificationGenetic Algorithm OptimizationZagros Orogenic BeltShear-Tensile JointsGeospatial Analysis in Geology |
| spellingShingle | HAJAR KAZEMI KOUROS YAZDJERDI ABDOLMAJID ASADI MOHAMMAD REZA MOZAFARI Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran Anais da Academia Brasileira de Ciências Fracture Classification Genetic Algorithm Optimization Zagros Orogenic Belt Shear-Tensile Joints Geospatial Analysis in Geology |
| title | Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran |
| title_full | Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran |
| title_fullStr | Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran |
| title_full_unstemmed | Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran |
| title_short | Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran |
| title_sort | comparison of clustering methods and conventional approaches for geological fracture analysis a case study in northern shiraz iran |
| topic | Fracture Classification Genetic Algorithm Optimization Zagros Orogenic Belt Shear-Tensile Joints Geospatial Analysis in Geology |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025000301103&lng=en&tlng=en |
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