Virtual Core: Bridging the Gap Between Core Data Management, Advanced Visualization and Virtual Image Generation

Information from core samples is vital for accurately characterizing subsurface formations during well evaluation. Conventional core analysis yields strategic insights into fluid presence, distribution, and deliverability. For these reasons we present a novel digital platform that consolidates core and log data, enabling integrated 3D visualization and analysis within a unified IT ecosystem. Key features include manipulation of core and log data, seamless integration and visualization of laboratory measurements and core description tools, all within a collaborative virtual workspace. Centralized data access and integration are streamlined via the company geoscience data platform, ensuring efficient data management and retrieval. Beyond visualization, the system aimed at creating 3D digital twins of actual rock samples, capturing their geological and physical properties. AI models are trained to reconstruct virtual cores in intervals lacking physical samples, extending interpretive capabilities. This platform represents a transformative approach to core data analysis, enhancing both subsurface characterization and collaborative geoscience workflows.