eDrilling is a supplier of a comprehensive suite of AI-driven and predictive tools for drilling operations, including:

• Well Planner - A modeling tool for testing well plans, assessing risks, and optimizing well design.
• Well Sim - Simulation software that works alongside Well Planner to model drilling scenarios.
• Well Ahead - A real-time predictive analytics tool that monitors live data, compares it with planned data, and provides alerts to help reduce costs and carbon emissions.
• Well Guide - Optimization software focused on improving tripping speed, flow, ROP (rate of penetration), and RPM, while ensuring safety.
• Well (3D Visualization Tool) - Provides real-time visual data to the driller, showing formation changes, proximity to the reservoir, and potential risks.

The company offers flexible licensing models, including:

• Perpetual License - A one-time purchase with annual maintenance for updates and bug fixes.
• Subscription Model - Available on an annual or monthly basis.
• Microservices - Customers can pay to use the software for a specific well or timeframe, ideal for short-term projects.

• Well Sim and Well Planner - capable of generating thousands of iterations of the same well scenario to efficiently train personnel, rather than requiring physical drilling of each well.
• Eta AI Agent - A learning AI agent, trained on extensive well data, that acts as a “theoretical driller and engineer,” making real-time decisions and providing transparent rationale to support engineers. This tool is designed to adapt and improve over time.
• Cyber-Based Drilling Control System - Allows remote drilling management, aiming to reduce on-site personnel needs.
• Dynamic Thermal Hydraulic Models - Unique simulation models that enable more advanced thermal and hydraulic testing compared to competitors.
• CO₂ Well Control Software - Specifically developed to handle well control for CO₂ storage projects, supporting safe carbon capture and storage operations.

The suite of tools is designed to enhance planning, real-time monitoring, optimization, and decision-making in drilling operations as they cater to tasks such as:

• Real-time decision-making and adaptation to well conditions
• Risk assessment and preemptive planning to avoid potential well issues
• Optimizing operational parameters to improve efficiency and maintain safety
• Environmental management through emission and cost reduction
• CO₂ well control, supporting projects related to carbon capture and storage