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  • Presentation | PP11E: Cyclostratigraphy and Astronomical Forcing of Earth’s Paleoclimate System Poster
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  • PP11E-0865: Development of a Python-Based Tool for Cyclostratigraphic Analysis Focused on Exploratory Basin Studies
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  • Board 0865‚ Hall EFG (Poster Hall)
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Author(s):
Daniel Franco, National Observatory of Brazil (First Author, Presenting Author)
José Alejandro Moreno Alfonzo, National Observatory of Brazil
André Wiermann, National Observatory of Brazil
Cosme Ponte Neto, National Observatory of Brazil
Guilherme Vanzan, National Observatory of Brazil
Raysa Rocha, Universidade Federal do Rio de Janeiro
Ernesto Cristallini, Universidad de Buenos Aires
Vitor Mello Cunha, National Observatory of Brazil
Ciro Rodrigues, PETROBRAS
Gabriella Fazio, National Observatory of Brazil
Natália dos Santos, National Observatory of Brazil
Carolina Leandro, Universidade Federal do Rio Grande do Sul
Mateus Fontana Michelon, Petrobras, Rio de Janeiro, Brazil
Mariane Candido, National Observatory of Brazil
Giovanna da Silva Oliveira, National Observatory of Brazil
Pedro Paiva Chini, National Observatory of Brazil
Jhon Willy Lopes Afonso, UNICAMP State University of Campinas
Joice Cagliari, Unisinos University
Thiago Santos, University of Sao Paulo
Ricardo Trindade, Universidade de São Paulo
Jairo Savian, Universidade Federal do Rio Grande do Sul
Ana Natália Gomes Rodrigues, PETROBRAS


We are developing a new Python-based software tool, built with the Django framework, to support advanced cyclostratigraphic analysis of sedimentary records in exploratory basins. The tool runs in a web environment and is organized into six modular components that guide users through a step-by-step workflow using well log data.


Its main goal is to build the Astronomical Time Scale (ATS), which provides a high-resolution timeline of Earth’s past climate and sedimentation patterns. Once the ATS is established, the platform enables both two- and three-dimensional stratigraphic correlations by integrating well logs with seismic data, improving geological interpretation and exploration planning.


Designed in collaboration with cyclostratigraphy experts, the platform addresses key limitations of existing tools. A large part of the workflow is automated, minimizing the need for external software and improving efficiency. Users can also export high-resolution vector graphics of key outputs such as spectrograms and evolutionary spectra.


A major innovation is the seamless integration of seismic and well data for multi-dimensional correlation—something not available in current cyclostratigraphic software. With its combination of automation, usability, and expanded capabilities, this tool represents a significant step forward in digital solutions for stratigraphic analysis and basin studies.




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