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Nvicta AI Platform
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Aggregate MWD, EDR, and Machine Data

Nvicta AI seamlessly aggregates and stores all EDR, MWD, and machine data in the cloud without the need to rely on third-party data providers. Visualize everything in one place, or compare across multiple wells. Operational KPIs such as connection times and stand-by-stand metrics are calculated in real-time.

Directional Guidance and Planning

An intelligent directional guidance package offers:

  • Real-time projection to the bit with live tracking

  • Continuous surveys using live inclination and azimuth

  • Automated sliding instructions through AI-based path planning

  • Simulation of user-generated instructions

Directional
Directional

Directional Performance Indicators

Various directional KPIs such as sliding efficiency, average slide toolface, slide distance, and 3D tortuosity are calculated and used to generate automated slide sheets. Rotary tendencies are calculated from real and pseudo surveys and plotted to help with directional performance.

Real-time Physics

Automated torque and drag modeling, friction factor estimation, and buckling analysis are performed automatically based on aggregated BHA and hole data. Annular, standpipe pressure, and cuttings bed height are estimated in real-time and used to assess operational efficiency.

Real-time Physics
Smart Alerts and Notifications

Smart Alerts and Notifications

Nvicta AI generates custom alerts based on time, depth, or survey-based attributes and notifies your team using push, email, and text notifications. These alerts can be simply user-designed or generated based on advanced pattern recognition conducted on several attributes.

Drilling Optimization

Nvicta AI analyzes real-time and offset drilling data to recommend the best drilling parameters that maximize ROP and minimize MSE. An automated curve-fitting founder module provides an effective way to monitor the relationship between several variables such as differential pressure and WOB to identify inefficient operating parameters.

Drilling Optimization
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