Big data for drilling management
Use cases
- Drilling processes optimization.
- Predictive and preventive maintenance.
- Equipment maintenance planning.
- Remote equipment monitoring and control.
- Inventory management optimization.
How it works: Sensors installed on the drilling equipment send temperature, pressure, vibration, flow, position, torque, and other readings. Gathered and analyzed by the big data solution, this data powers real-time insights into drilling processes (e.g., drilling direction, drilling fluid composition and pressure, drilling bit position) and intelligent software-to-equipment commands (e.g., adjusting drilling bit position to target specific formations or avoid obstruction).
Big data software also gathers equipment operational data (e.g., the rotation speed of the drilling bit, drilling fluid temperature) and equipment metadata (e.g., model, operational settings). This data is used to build accurate AI/ML models that help generate alerts on abnormal events and identify failure-causing equipment usage patterns. This allows O&G companies to minimize NPT (non-productive time), optimize inventory management processes and equipment maintenance schedules, extend equipment lifespan, and more.
Drilling and equipment data can also be coupled with real-time and historical geological data (e.g., rock formation evaluation, mud properties) to build and adjust drilling models, predict anomalies, and prevent unwanted events like kicks and blowouts.
