Real-Time Drilling Monitoring, Analytics, and Optimization

Display and analyze drilling data (time series and depth series) combined with geological data for computer assisted operations monitoring and performance improvement.

Real-Time Drilling Monitoring, Analytics, and Optimization

Apply below to join our Pre-Release test group!
Customizable Dashboards

Utilize various widgets to construct a personalized dashboard that suits your specific requirements. Share your dashboard with colleagues by publishing it.

Linear Widget DrillSpotGeotarget widget: X-section ViewGeotarget widget: Gun Barrel ViewTime vs Depth Drilling Daily Drilling ActivityNumeral widget with drilling analytics

Computer-assisted real-time monitoring

DrillSpot allows drilling teams to monitor drilling parameters in real-time and make data-driven decisions to optimize drilling performance.

The integration of drilling hazards prediction algorithms  helps proactively identify and avoid potential operational problems.

Computer-assisted real-time monitoring
DrillSpot allows drilling teams to monitor drilling parameters in real-time and make data-driven decisions to optimize drilling performance.

The integration of drilling hazards prediction algorithms  helps proactively identify and avoid potential operational problems.

Monitor wellbore placement progress

Сompare the current wellbore position with that of either the wellplan or the current target line in conjunction with geosteering interpretation in StarSteer.

Quickly visualize the current trend of the wellbore and its relationship to target horizons.

Monitor wellbore placement progress/ Сompare the current wellbore position with that of either the wellplan or the current target line in conjunction with geosteering interpretation in StarSteer.

Drilling performance evaluation

DrillSpot processes raw drilling data using machine learning algorithms to provide you with 19 automatically recognized rig activities and numerous KPIs.

This combined with geological data from Solo Cloud from any number of wells brings deep insight into routine drilling operations efficiency and identifies areas of improvement.

Drilling perfomance evaluation. DrillSpot processes raw drilling data using machine learning algorithms to provide you with 19 automatically recognized rig activities and numerous KPIs.

Analytics reports

With DrillSpot's flexible and automatically updating analytics reports, users can track and analyze various key performance indicators (KPIs) for their operations.

Drilling analytics report. With DrillSpot's flexible and automatically updating analytics reports, users can track and analyze various key performance indicators (KPIs) for their operations.

Data storage and accessibility

Drilling data streamed from WITSML is automatically stored in optimized databases within Solo Cloud. Data is alwaysavailable regardless if the original source is still active or not.

Users can access stored data includingrig activity, KPIs and hazards through Rest API, Python SDK or extractedthrough Solo Connect.

Drilling data streamed from WITSML is automatically stored in optimized databases within Solo Cloud. Data is alwaysavailable regardless if the original source is still active or not.

Want early access?

Apply below to join our Pre-Release test group!

Sign Up
Presentation Brochure
pdf
3mb

Ready to Get Started?

All ROGII solutions work together in Solo Cloud, which allows users to collaborate and share data in real-time.