Overview
Monitor and optimize drilling performance, guiding bit change decisions and improving ROP
Our digital twin solution estimates remaining drilling time with the current bit and compares it to the expected performance of a new one, generating automatic alerts when a bit change is needed. By tracking MSE, vibrations, and other key indicators, it identifies efficiency drops and recommends optimal WOB and RPM, combining physics and AI to maximize ROP and extend tool lifespan.
Early bit change decision saves rig hours in pre-salt drilling
- Module applied in pre- and post-salt drilling operations in Brazil.
- Algorithm-supported decision to trip based on operational parameters.
- Post-tripping inspection confirmed significant bit wear.
- Early decision prevented potential failure and saved valuable rig hours.
- Proven effectiveness of our solution in optimizing drilling performance.
Real-time performance analysis
Track mse, dc exponent, and key indicators to assess bit and drilling efficiency.
Automated alerts for bit change
Detect wear conditions and determine the optimal moment for tripping operations.
Wob and rpm optimization
Hybrid physics + machine learning recommendations to boost rop.
PWDa
Instantaneous problem detection and drilling optimization based on simulation and AI
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