Improve Well Design and Real-time Drilling Decisions

Aggregate and inaccurate drilling performance planning

AI-based drilling performance predictions at depth-, inclination- and azimuth-level that leverage all historical data

Suboptimal trajectory design and bottom-hole assembly equipment choice

Design parameters recommendations to maximize productivity and minimize costs

Poor Non-Productive Time performance caused by inadequate risk assessments

AI-enabled insights to mitigate drilling risks and hazards such as Non-Productive-Time (NPT) events

Free text drillings reports, high-volume logs, lengthy offset well manual analyses

AI-driven data and context gathering to accelerate well planning and drilling execution tasks.

Hard-to-maintain, slow-to-update, and deterministic physics-based models

Agile, continuous, and stochastic hybrid predictions that leverage deep learning and surrogate models

Multiple tools, multiple data repositories, multiple parties, inefficient collaboration

A unified, integrated, and OSDU-compatible application to streamline collaboration across key drilling operations