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.