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.
- Team Blend https://github.com/equinor/LCMLibrary-Blend
- Team Bridge https://github.com/equinor/LCMLibrary-Bridge
- docker
- docker-compose
-
Create a copy of
.env-template
called.env
and populate it with values. -
Build the containers
docker-compose build
-
Start the project
docker-compose up
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.
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;
- Add a file at
./api/test_data/interpolate_input.csv
- Have the first column be called "Size" and have 101 measuring points of the products
- 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
- Run
docker-compose build api && docker-compose run api python calculators/fraction_interpolator.py
- One result file for each product will be created in
./api/test_data/
Two different environments in Radix are used: one for test (deploys from branch "test") and one for production (deploy from branch "master")