FORCE Hackathon 2019
Code for translating formation descriptions to transcriptions/classifications (grain size) using machine learning.
Retrieving dataset
Download the following Excel spreadsheet to a folder named data: [RealPore Por Perm Lithology data 1240 Wells Norway public.xlsx]https://drive.google.com/open?id=17kOO2637vXV1jADdo6i4PpYt7X6BYY4N
If named exactly RealPore Por Perm Lithology data 1240 Wells Norway public.xlsx, it will be picked up automatically when running the machine_translation.py script. Otherwise, specify the path to the dataset with the --dataset option.
Original link seems to be dead.
The spreadsheet is also available at https://zenodo.org/record/4419060
A version 2.0 of the data is available at https://zenodo.org/record/4723018
Python dependencies
Tested with Python 3.9.
See requirements.txt file for further dependencies
Optionally install tensorflow-gpu instead of tensorflow package if a GPU is available, to speed up training.
Training formation description to transcriptions or formation descriptions to grain size
Run the machine_translation.py script to start the machine learning
Example usages:
python machine_translation.py transcription
# or
python machine_translation.py "grain size"
# or
python machine_translation.py --help # to see other options.