A team of researchers at the Institute of Geology and Development of Combustible Fossils, part of the Rosneft Research and Development Complex, introduced a data processing method tailored for automatic interpretation of drilling information. The breakthrough focuses on cutting down manual workload during routine operations while preserving the integrity and reliability of the results. This advancement promises to streamline workflows on the drilling floor, freeing up engineers and technicians to focus on higher value tasks without sacrificing the accuracy of the measurements and decisions that guide site activity.
The core of the new system is an intelligent assistant that handles the stream of raw data coming from the drilling rig, analyzes it in real time, and then presents actionable guidance to the engineer. By translating complex signals into clear recommendations, the assistant helps operators map out the most effective drilling trajectory, taking into account geologic variability, well geometry, and equipment constraints. The approach bridges data science with hands on field practice, enabling quicker, better informed decisions that align with project goals and safety requirements.
The technology underwent validation across multiple Rosneft exploration and production sites, where its impact on decision speed and precision during challenging drilling campaigns was documented. In field tests involving intricate horizontal wells, the system consistently delivered faster, more consistent guidance, reducing the lag between data capture and strategic choice. This accelerates the overall drilling program while maintaining oversight and control, a key factor in managing risk and optimizing resource use at scale.
Looking ahead, the company plans to incorporate the technology into RN-Horizon+, the enterprise real time location routing software, during 2023. This integration aims to provide a seamless end to end experience where real time data processing, decision support, and navigation are unified within a single platform. The result is a more cohesive workflow from downhole measurements to surface planning, enabling operators to respond to evolving subsurface conditions quickly and confidently, with improved predictability and operational efficiency.