A Unified Data Driven Benchmark and Analog Tool for Norwegian Continental Shelf

Subsurface knowledge and data are important when assessing exploration and greenfield development. Often the challenges are efficient access to trustful data, different formats of data, and inconsistent well-naming from multiple sources.

To address this, a unified, data-driven benchmarking and analog tool has been developed and connected to Snowflake cloud-based environment that contains subsurface and production datasets using the OSDU (Open Subsurface Data Universe) standard. The platform standardizes and harmonizes information from multiple sources, enabling efficient comparison of production performance, geological characteristics, and field development strategies across the NCS.

The tool is developed via Streamlit, allowing evaluation of field phases, well functions, drainage patterns, and resource densities despite challenges with different data granularity (field level, formation level, and well level) and inconsistencies. By leveraging the consistent, unified dataset, the tool can support advanced benchmarking from field level down to well level, identifies key parameters influencing recovery efficiency, and facilitates data-driven decision-making for field development.