Technical Programme

This session shall cover presentations exploring the 'Future of Hybrid Reservoir Modelling,' diving deep into the transformative convergence of traditional physics-based simulations with cutting-edge data-driven techniques. Participants will learn about the current state of hybrid reservoir modelling, pinpointing the key challenges that industry professionals face. Experts will present emerging concepts like 'Live Earth Modelling,' where the need for real-time integration of physical models with dynamic data streams is revolutionising reservoir management. Experts will discuss best practices in enabling more accurate, adaptable, and predictive reservoir models, ultimately leading to optimised production and enhanced decision-making in the energy sector.

Keywords – Sustainability, Digitalisation, AI, Quantum

Artificial Intelligence (AI) and data analytics are revolutionising field development, enabling more efficient decision-making, optimised production, and improved asset management. However, the industry faces key challenges such as data quality assurance (QA/QC), the need for an integrated central repository for seamless data access and ensuring data security in a rapidly digitalising environment.

This panel session, "Transforming Field Development with AI and Data Analytics," will explore how advanced technologies, including deep machine learning, predictive analytics, and digital twins, are addressing these challenges. Experts will share insights on overcoming data silos, improving model accuracy, and integrating AI-driven workflows for reservoir modelling, well optimisation, and production forecasting.

The discussion will also highlight best practices for implementing secure and scalable AI solutions, ensuring data integrity, and fostering a data-driven culture in upstream operations. Attendees will gain actionable strategies to leverage AI and analytics for more sustainable and efficient field development.