Session Managers: Salwa Khair Md Tarif, Brunei Shell Petroleum; Mohammad Amirul Thaqif Haji Mayassin, Brunei Shell Petroleum

Optimising oil and gas production requires a comprehensive approach that integrates production system modelling, simulation, and data-driven Well, Reservoir & Facility Management (WRFM) strategies. In an era of increasing operational complexity, leveraging digital transformation and predictive analytics is key to enhancing efficiency, maximising recovery, and reducing downtime. This session will explore cutting-edge methodologies for modelling production systems, simulating field performance, and applying real-time data analytics to WRFM workflows. Participants will gain insights into how digital technologies, AI, and advanced simulations are reshaping production optimisation strategies. Designed for both surface and subsurface professionals and asset managers, this workshop will provide practical insights into how to utilise simulation models and digital data efficiently for decision-making and to unlock new opportunities in oil and gas production.

Key discussion points include:

• End-to-end systems that include reservoir understanding, wells, and surface facility set-up

• Production system modelling and simulation – optimising inflow and outflow dynamics for improved performance

• Integrating physics-based and automated models for accurate forecasting and decision-making

• Transforming WRFM with real-time data analytics and visual representation – predictive maintenance, anomaly detection, and production optimisation

• Case studies on successful digital transformation initiatives in production and WRFM strategies

• Best practices for using automation and AI in production monitoring and optimisation