GitHub - franklinobasy/LNG-Optimization-Machine_Learning: This project aims to apply machine learning techniques in Liqufied Natural Gas Optimization

This project aims to apply Data analytics / Machine learning to optimizing the production of liquefied Natural gas from an existing plant.

Real Industrial data with about 70,000 records of activities in the plant was analyzed to build a model that predicts the LNG flow.

Then, an algorithm was created to interact with the model, using a form of binary search technique to find the best input variables that can optimize a particular state in the plant.

With the model, we were able to achieve an average of 10% increase in the optimization of the LNG production.

A Graphic user interface was designed to give a visual interaction with the work that has been done.

This work was done in an anaconda environment.

To use the app: Run

python gui.py

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
GUI		GUI
images		images
.gitignore		.gitignore
Analysis on new_test_dataset_analysis.csv		Analysis on new_test_dataset_analysis.csv
Analysis on new_test_dataset_analysis.xlsx		Analysis on new_test_dataset_analysis.xlsx
GeneticAlgorithm.ipynb		GeneticAlgorithm.ipynb
LNG-DATA.csv		LNG-DATA.csv
README.md		README.md
Step 1- Data Wrangling.ipynb		Step 1- Data Wrangling.ipynb
Step 2 - EDA.ipynb		Step 2 - EDA.ipynb
Step 3 - Model Development.ipynb		Step 3 - Model Development.ipynb
Step 4 - kettles.ipynb		Step 4 - kettles.ipynb
Step 5 - Final model development.ipynb		Step 5 - Final model development.ipynb
Step 6 - Test Model.ipynb		Step 6 - Test Model.ipynb
T3 LNG Validation DATA.xlsx		T3 LNG Validation DATA.xlsx
data3.csv		data3.csv
evaluations.ipynb		evaluations.ipynb
gui.py		gui.py
improv lng pred.png		improv lng pred.png
improv temp pred.png		improv temp pred.png
input_search_algorithm.py		input_search_algorithm.py
inputs.csv		inputs.csv
inputs_test.ipynb		inputs_test.ipynb
lng pred.png		lng pred.png
model.pkl		model.pkl
new_inputs.csv		new_inputs.csv
new_test_dataset.ipynb		new_test_dataset.ipynb
new_test_dataset_analysis.csv		new_test_dataset_analysis.csv
new_test_dataset_analysis.xlsx		new_test_dataset_analysis.xlsx
optimization_result.csv		optimization_result.csv
optimization_result.xlsx		optimization_result.xlsx
requirements.txt		requirements.txt
temp pred.png		temp pred.png

franklinobasy/LNG-Optimization-Machine_Learning

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