Demonstrations shown during my lectures in TPG4155 - Applied Computer Methods in Petroleum Science at NTNU
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Oct 25, 2018 - MATLAB
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petroleum-science
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This project examined Global Production and Consumption Quantities of Refined Petroleum Products using EIA data. The data was visualized, yielding meaningful results. Deep learning and machine learning predict models were developed to predict US future consumption. For Turkish Article : https://medium.com/@aydogdunurdan
data-science machine-learning deep-learning random-forest linear-regression data-visualization xgboost data-analysis predictive-modeling carbon-emissions petroleum energy-consumption lstm-neural-networks prediction-model energy-management prophet-model oil-and-gas petroleum-science petroleum-dataset petroleum-consumption-analysis
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Jul 28, 2025 - Jupyter Notebook
Data processing approaches for paraffin wax odor discrimination and quantification
machine-learning r chemistry machine-learning-algorithms chemoinformatics petroleum chemometrics gc-ms petroleum-science gc-ms-data
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Dec 15, 2024 - R
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