Artificial lift failures
Early alerts, fewer interventions, and fewer non-productive hours.
Get to know us
A clear path:from monitoring to prediction
Discovery, custom monitoring and alerting platform, and production-ready predictive ML/AI models.
Services
Phase 1:
Discovery and joint development
Align the problems to tackle and define measurable deliverables.
Complete review of the data pipeline and monitoring system. Collaborative work to prioritize issues and build a phased execution plan. Iterative development with partial deliverables.
Services
Phase 2:
Custom monitoring and alerting platform
Move from scattered data to an operational alerting system that works in the field.
We build on the phase 1 audit. We integrate sources and leave a robust pipeline ready to scale.
Services
Phase 3:
Predictive Machine Learning models
Anticipate failures/critical events and scale coverage to more wells with production-ready models.
We build on the phase 2 pipeline and alerting system. We validate models with an operational-impact focus and deploy them for real usage.
Challenges
Challenges we address
Our solutions address the most frequent challenges in Oil & Gas operations.
High water production
Trend tracking and deviation signals to act before impact.
Pump optimization
Detection of suboptimal performance and adjustment opportunities.
Paraffin / wax buildup
Degradation signals and alerts to reduce restriction and blockage losses.
Scale formation
Scale indicator monitoring to anticipate corrective actions.
Corrosion
Alerts on corrosion-related conditions to minimize damage and costs.
Emulsion issues
Instability pattern identification to prevent shutdowns and efficiency losses.
Let's turn your data
into decisions
Bring your case and we shape the plan: what to attack first, which data to use, and how to measure impact from phase 1.