We turn drilling and field data into engineering tools for reducing downtime and cost, detecting complications earlier and improving well planning.
Where it is useful
- Reduce NPT by identifying causes of downtime, schedule deviations and recurring time losses.
- Detect early signs of stuck pipe, losses and other drilling complications.
- Benchmark rigs and crews using rate of penetration, tripping time and operational KPIs.
- Plan future wells using actual historical performance; analyze workover operations.
What we do
- Analyze field and drilling data, operation durations and drivers of delay and cost.
- Build drilling KPI dashboards and systems for monitoring operational deviations.
- Develop and adapt machine-learning models for early detection of complications.
- Pilot decision-support tools and integrate proven approaches into engineering workflows.
benefits
- Potentially lower NPT, well construction duration and operating cost.
- Earlier identification of risks and fewer repeated operational problems.
- More reliable planning and objective production performance comparisons.
Practical outputs
- Working analytics and monitoring tools with agreed performance indicators.
- Pilot results, measured performance on operational data and a scale-up plan.
Team experience
- Experience developing AI-based systems for drilling and field data analysis, KPI monitoring and detection of drilling complications.
- Engineering planning and well optimization experience across Russia, Algeria, Vietnam and Bangladesh.