Electricity, commodities, and various other industries heavily depend on the oil & gas sector that’s the main driver of their growth. But oil and gas industry has its own challenges that demand modern solutions not just to manage data but also to make effective use of information which is only possible with the strategic implementation of artificial intelligence & machine learning in oil and gas algorithms.
AI-based models can help E&P companies on various ends such as explaining the ROI to stakeholders, identifying key procedural issues in their workflows & gasoline prices
forecasting. And they can also devise a better course of action using data that is collected from various points during their routine operations.
We gave Odyx yHat the advanced capabilities to perform time-series oil price prediction machine learning & crude oil price forecast using a myriad of AI-based models. This not just helps managers, data scientists, and business analysts understand the current situation of their E&P company but also presents the data in an easily understandable manner. Odyx yHat helps in:
Odyx yHat helps E&P companies in improving the quality assurance standards with smart defect detection capabilities using real-time data being generated every second.
Odyx yHat is also beneficial for E&P companies for improving the safety standards for their human resources working in sensitive oil extraction points.
Our tool is designed to help companies stay updated with machinery's wear and tear status and replace any defective component in a timely manner.