pide: Petrophysical Interpretation tools for geoDynamic Exploration.

pide is a Python library for calculating geophysical parameters (e.g., electrical conductivity, seismic velocity), employing the results from experimental petrology, mineral/rock physics, and thermomechanical modeling studies. pide can calculate the theoretical electrical conductivity of any Earth material that exists in the literature. pide can also calculate seismic velocity utilising the external ‘sister’ library SAnTex. Using these theoretical calculations, users can utilize inversion modules to decode geophysical anomalies compositionally or convert thermomechanical models into geophysical observables. With a given spatial mapping of Earth materials, which can preferentially be loaded from a thermomechanical model, pide can be used to build synthetic electrical conductivity and seismic velocity models and generate gravity and magnetic anomalies. Moreover, pide is built as a modular tool, so users can easily build their functions.

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Institutions

Publication Details

Journal
The Journal of Open Source Software
Published
2025-01-09
DOI
https://doi.org/10.21105/joss.07021
Citations
3
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
4.01
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article

pide: Petrophysical Interpretation tools for geoDynamic Exploration.

Patrice Rey, Utpal Singh, Lu Li, Sinan Özaydın et al.
3 citations
The Journal of Open Source Software
Geological Modeling and Analysis
4.01
article

pide: Petrophysical Interpretation tools for geoDynamic Exploration.

Patrice Rey, Utpal Singh, Lu Li, Sinan Özaydın, María Constanza Manassero
article en
3 citations

Abstract

pide is a Python library for calculating geophysical parameters (e.g., electrical conductivity, seismic velocity), employing the results from experimental petrology, mineral/rock physics, and thermomechanical modeling studies. pide can calculate the theoretical electrical conductivity of any Earth material that exists in the literature. pide can also calculate seismic velocity utilising the external ‘sister’ library SAnTex. Using these theoretical calculations, users can utilize inversion modules to decode geophysical anomalies compositionally or convert thermomechanical models into geophysical observables. With a given spatial mapping of Earth materials, which can preferentially be loaded from a thermomechanical model, pide can be used to build synthetic electrical conductivity and seismic velocity models and generate gravity and magnetic anomalies. Moreover, pide is built as a modular tool, so users can easily build their functions.

The Journal of Open Source SoftwareVol. 10(105)
The University of Sydney (AU), University of Tasmania (AU), The University of Western Australia (AU)
Openalex Percentile: Top 9%
Geological Modeling and Analysis
4.01
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