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Lost Circulation Material Optimizer

CI

Web application for creating, comparing, and optimize blending of lost circulation material used to bridge fractures and stop losses in rock formations during petroleum drilling.

This repository is the result from the merger of the two summer intern projects from 2020.

plot

Deployed environments:

Requirements

  • docker
  • docker-compose

Running

  1. Create a copy of .env-template called .env and populate it with values.

  2. Build the containers

    docker-compose build

  3. Start the project

    docker-compose up

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

Operational runbook

RUNBOOK

Interpolating new fraction data

Bridge data from products on a different scale than the one defined at api/calculators/bridge.py:45 can be added to the LCM optimizer as long as the data gets interpolated into the same scale.

That can be done like this;

  1. Add a file at ./api/test_data/interpolate_input.csv
  2. Have the first column be called "Size" and have 101 measuring points of the products
  3. Add one column for each product, where the header is the name of the product. 
    Size,Prod1,Prod2
0.01,0,0
0.011482,0,0
...
10000,100,100
  4. Run docker-compose build api && docker-compose run api python calculators/fraction_interpolator.py
  5. One result file for each product will be created in ./api/test_data/

Radix

Two different environments in Radix are used: one for test (deploys from branch "test") and one for production (deploy from branch "master")

License

MIT