A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry

The oil and gas industries are facing several industry-specific barriers which include process improvements, ignorance of complex operations, equipment management, logistics operations, etc. However, the enormous amount of data that are being produced by this industry, and the implementation of analytics, can overcome these challenges. This project aims to put forth a step-by-step procedure to preprocess data and utilize data analytics tools to provide meaningful insights to make business intelligent decisions for companies. The results from this research will be presented in data preprocessing procedures, the use of analytics, and machine learning applications in the O&G industry.