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1D geological prior generator for stochastic lithology and resistivity modeling

Project description

geoprior1d

PyPI version Python versions License

1D geological prior generator for stochastic lithology and resistivity modeling.

Installation

From PyPI

pip install geoprior1d

From source

cd geoprior1d

# Basic installation
pip install .

# Development installation (editable mode)
pip install -e .

Quick Start

Command Line

# Copy example file and show usage (doesn't run, just prepares the file)
geoprior1d

# Then run with the copied example file
geoprior1d daugaard_standard.xlsx --plot

# Or use your own input file
geoprior1d input.xlsx -n 10000 -d 90 --plot

# With custom output filename
geoprior1d input.xlsx -n 10000 -d 90 -o my_output.h5

# With parallel processing (use all CPU cores)
geoprior1d input.xlsx -n 10000 -d 90 -j -1

# All options combined
geoprior1d input.xlsx -n 10000 -d 90 -s 1 --plot -j 4 -o output.h5

Python API

from geoprior1d import geoprior1d

# Generate priors
filename, flags = geoprior1d(
    input_data="daugaard_matlab.xlsx",
    Nreals=10000,
    dmax=90,
    dz=1,
    doPlot=1,
    n_processes=None,      # Optional: use -1 for all cores, or specify number
    output_file=None       # Optional: specify custom output filename
)

print(f"Output saved to: {filename}")

Input File Format

See CLAUDE.md for detailed format specification and code architecture.

Requirements

  • Python >= 3.8
  • numpy >= 1.20.0
  • h5py >= 3.0.0
  • matplotlib >= 3.3.0
  • pandas >= 1.2.0
  • scipy >= 1.6.0
  • tqdm >= 4.60.0
  • openpyxl >= 3.0.0

All dependencies are automatically installed via pip.

License

MIT License

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