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Well log mnemonic identification using lasio and dlisio to load LAS/DLIS files into DataFrames

Project description

LASMnemonicsID Logo

LASMnemonicsID

Well log mnemonic identification using lasio and dlisio

PyPI Python Versions License


📦 Installation

pip install lasmnemonicsid

🚀 QuickStart

from LASMnemonicsID.LAS import parseLAS

# Load LAS file
df = parseLAS("your_well.las")
print(df.head())

🧪 Test with your Data: Multiple files will load into a dictionary

from LASMnemonicsID.LAS import parseLAS

# Load all .las within the Directory → {filename: df}
data = parseLAS("/path/to/your/data/")
print("Files:", list(data.keys()))

# Dataframes
df = parseLAS('/path/to/yourfile.las')
print(df.head())

📈 Star History

Star History Chart

📄 How to Cite

If you use LASMnemonicsID in your research or project, please cite it as follows:

APA

Nobleza Energy. (2025). LASMnemonicsID: Well log mnemonic identification using lasio and dlisio [Software]. GitHub. https://github.com/Nobleza-Energy/LASMnemonicsID

BibTeX

@software{LASMnemonicsID,
  author = {Nobleza Energy},
  title = {LASMnemonicsID: Well log mnemonic identification using lasio and dlisio},
  year = {2025},
  publisher = {GitHub},
  journal = {GitHub repository},
  url = {https://github.com/Nobleza-Energy/LASMnemonicsID}
}

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