A fuzzy C-means clustering approach for petrophysical characterization of lithounits in the North Singhbhum Mobile Belt, Eastern India

Arasada, Rama Chandrudu; Kumar, Santosh; Rao, Gangumalla Srinivasa; Biswas, Anirban; Ranjan, Sahoo Prabodha; Singh, Sahendra

doi:10.1007/s11600-024-01402-7

Artykuł - szczegóły

Tytuł artykułu

A fuzzy C-means clustering approach for petrophysical characterization of lithounits in the North Singhbhum Mobile Belt, Eastern India

Autorzy

Arasada Rama Chandrudu , Kumar Santosh , Rao Gangumalla Srinivasa , Biswas Anirban , Ranjan Sahoo Prabodha , Singh Sahendra

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-024-01402-7

Warianty tytułu

Języki publikacji

Abstrakty

The characterization of the various rock types through petrophysical data analysis is essential for comprehending geological processes and enhancing the efficacy of geophysical approaches aimed at mineralization zones. In the present study, a Fuzzy C-Means (FCM) clustering algorithm was employed to automatically classify lithounits within the western sector of the North Singhbhum Mobile Belt based on the petrophysical properties. Laboratory measurements of 326 rock samples from the study area show a wide range of density (~2350-3150 kg/m3) and magnetic susceptibility (10^-5 SI to 10^-1 SI) values. Further FCM analysis reveals three distinct clusters: (i) cluster 1 displays high density and low magnetic susceptibility responses and comprises majorly metabasic, phyllite, and mica schist rocks, (ii) cluster 2 shows low density and low magnetic susceptibility characteristics and contains mainly metasedimentary rocks (phyllite, quartzite, and mica schist) and (iii) cluster 3 also primarily encompasses metasedimentary rocks, but it displays the low density and high magnetic susceptibility characteristics. Overlap of rock types in different clusters probably indicates the influence of secondary geological processes on the petrophysical measurements such as metamorphism, alteration, and weathering, which is also supported by the petrographical studies. Overall, the present study demonstrates the potential utility of the FCM algorithm for automatic lithology classification and inferring the associated geological processes from the petrophysical measurements. Furthermore, the correlation between the geophysical and petrophysical clusters highlights the role of petrophysical information in the automatic geological/mineral mapping. However, the complexity in cluster attributes on a detailed scale suggests that future studies in the NSMB should focus on comprehensive multi-parameter petrophysical and geochemical measurements. This approach will help in developing better strategies for 3D geophysical data inversion and resolve the complexities in petrophysical data interpretation.

Słowa kluczowe

petrophysical data fuzzy c-means clustering automatic lithology classification North Singhbhum mobile belt

dane petrofizyczne klasteryzacja metodą rozmytych c-środków

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2025

Tom

Vol. 73, no. 1

Strony

439--455

Opis fizyczny

Bibliogr. 60 poz.

Twórcy

autor

Arasada Rama Chandrudu

Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand 826004, India

autor

Kumar Santosh

Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand 826004, India

autor

Rao Gangumalla Srinivasa

srinivasasrao@iitb.ac.in

Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand 826004, India
Department of Earth Sciences, Indian Institute of Technology Bombay, Mumbai 400076, India

https://orcid.org/0000-0002-4119-5831

autor

Biswas Anirban

Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand 826004, India

autor

Ranjan Sahoo Prabodha

Department of Applied Geology, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand 826004, India

autor

Singh Sahendra

Department of Applied Geology, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand 826004, India

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-492c9495-ba6a-4a71-97bd-4abdffef26cc