中国P站

Abstract

Integrated asset modeling synthesizes diverse data for a holistic digital representation of energy assets, optimizing operations and decision-making. It leverages advanced computational techniques, including machine learning, for dynamic and predictive modeling, and incorporates uncertainty quantification for robust risk management. Extending to surface facilities, it optimizes the entire value chain. Real-time data integration and digital twins enable dynamic updates and rapid response. The integration of economic and technical models, alongside geomechanical and multi-physics considerations, enhances asset valuation and performance prediction. Successful implementation requires technological advancement alongside crucial organizational and cultural shifts towards collaboration.