Lecture 61 python seismic hierarchical library python

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In this context, you’d want to manage and process seismic data (like SEG-Y or SEG-D formats) in a hierarchical structure using Python.

✅ Common Libraries for Seismic Data in Python:

  1. ObsPy

    • A widely used Python toolbox for seismology.

    • Supports seismic file formats like .mseed, .sac, .segy.

    • Can handle hierarchical metadata using Stream and Trace objects.

Segyio

  • Specifically designed for handling SEG-Y files (used in geophysics and seismic imaging).

  • Uses a structure that allows hierarchical access to traces, headers, etc.

HDF5 + h5py or PyTables

  • You can use HDF5 to store seismic data hierarchically.

  • h5py allows tree-like access to datasets (good for complex surveys).

xarray

  • Excellent for multi-dimensional labeled data (e.g., time, depth, traces).

  • Integrates well with NetCDF or HDF5 formats for hierarchical access.

Interpretation 2: You want to build a hierarchical seismic data structure in Python

If you’re building your own hierarchical model (e.g., Survey → Line → Shot → Trace), you can use Python OOP or nested dictionaries/classes.

Example Hierarchical Structure:

Or using classes:

There is no official Python package named exactly “Seismic Hierarchical Library”, but you can work with:

  • ObsPy – For general seismic workflows

  • Segyio – For SEG-Y format reading

  • h5py/PyTables – To build hierarchical data storage

  • xarray – For multi-dimensional, labeled datasets

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