3D modeling of the stratigraphic and structural architecture of the Crotone basin (southern Italy) using machine learning with python

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/141878
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dc.contributorEvolución Geodinámica de la Cordillera Bética Oriental y de la Plataforma Marina de Alicantees_ES
dc.contributor.authorFalsetta, Ettore-
dc.contributor.authorBullejos, Manuel-
dc.contributor.authorCritelli, Salvatore-
dc.contributor.authorMartín-Martín, Manuel-
dc.contributor.otherUniversidad de Alicante. Departamento de Ciencias de la Tierra y del Medio Ambientees_ES
dc.date.accessioned2024-03-27T07:43:03Z-
dc.date.available2024-03-27T07:43:03Z-
dc.date.issued2024-03-27-
dc.identifier.citationMarine and Petroleum Geology. 2024, 164: 106825. https://doi.org/10.1016/j.marpetgeo.2024.106825es_ES
dc.identifier.issn0264-8172 (Print)-
dc.identifier.issn1873-4073 (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/141878-
dc.description.abstractThe 3D modeling and representation of geological data have experienced significant growth within last years, due to the use of new technologies derived from advancements in land representation methods. These technologies enable interactive, intuitive and clear geological visualizations. This paper shows how, by using the open-source Python software (operable with a simple internet browser) for machine learning (linear and KNN interpolations), together with Geographic Information Systems (GIS), it is possible to achieve interactive 3D visualizations of geological features in sedimentary basins. This study is performed in the onshore-offshore Crotone area (southern Italy) where a large amount of stratigraphic datasets are available from core perforation and seismic profiles due to the presence of a natural gas extraction field. Thanks to a database of 63 drilling lithologies and 43 check point obtained from the 9 interpreted seismic sections, records several 3D HTML models were constructed defining three stratigraphic units (Pre-Messinian, Messinian, and Post-Messinian). An overlap of the Post-Messinian top surface and an erosional truncation of the Messinian top surface toward the N were observed, together with a rising of the Pre-Messinian top surface in the northwestern area. This stratigraphic architecture may indicate a differential subsidence and/or uplifting due to syn-sedimentary fault kinematics in the whole studied area. The 3D models with the stratigraphic unit boundary surfaces obtained with KNN interpolation (the surfaces appear with stepped and abrupt edges) allowed the interpretation in terms of structural architecture and syn-sedimentary fault kinematics. Three main sets of faults were deduced: N–S set; NNW-SSE set, and ENE-WSW set. A minorly represented E-W set was added to the main sets. These faults generated a horsts-grabens structure, and in many cases a determinate set of faults generate a progressive lowering or rising of some areas with an “en echelon” arrangement. According to previous work, these deduced sets of faults (most of them are strike-slip faults) have a good agreement with the general structural architecture and defined faults in the area.es_ES
dc.description.sponsorshipFinancial support for this research derived from ENI-UNICAL funds (Definizione modello geologico e dei fenomeni geodinamici del Bacino Crotonese; Resp. S. Critelli). E. Falsetta was supported by The PhD Course in “Science and Engineering of Environment, Building and Energy” at the University of Calabria and by the PON React-EU “Ricerca e Innovazione” 2014–2020 funds (CUP: H29J21010090006). Research Project PID2020-114381GB-I00 to M. Martín-Martín, M. Bullejos and S. Critelli, Spanish Ministry of Education and Science; Research Groups and Projects of the Generalitat Valenciana, Alicante University (CTMA-IGA) are also acknowledged.es_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rights© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).es_ES
dc.subjectPython librarieses_ES
dc.subjectKNN algorithmes_ES
dc.subject3D stratigraphic and structural architecturees_ES
dc.subjectCrotone basines_ES
dc.subjectS Italyes_ES
dc.title3D modeling of the stratigraphic and structural architecture of the Crotone basin (southern Italy) using machine learning with pythones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1016/j.marpetgeo.2024.106825-
dc.relation.publisherversionhttps://doi.org/10.1016/j.marpetgeo.2024.106825es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114381GB-I00es_ES
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