JuanseHevia / rice-datathon-2024-chevron

Exploratory code and final deliverable for Rice University + Chevron Datathon '24.

Repository from Github https://github.comJuanseHevia/rice-datathon-2024-chevronRepository from Github https://github.comJuanseHevia/rice-datathon-2024-chevron

Features we're using

Cluster Analysis

We grouped the wells by analyzing their surface X and Y coordinates. We used the KMeans algorithm to cluster the wells into 20 groups. Afterwards we used the cluster number to compute the variation with respect to the mean OilPeakRate. Under the /model directory we store the KMeans model and the cluster labels for each well are stored in data/cluster_label_features.csv.

About

Exploratory code and final deliverable for Rice University + Chevron Datathon '24.


Languages

Language:Jupyter Notebook 99.9%Language:Python 0.1%