Chairs: Luz Diana Torrez Camacho, Halliburton; Welyson Oliveira, SLB

This session will explore how digital twins, AI-driven analytics, and integrated operational workflows are helping production and operations teams move from monitoring to proactive, scalable decision-making. The discussion will address how data, physics-based models, machine learning, and operational platforms can enable faster diagnosis, production optimization, and more reliable field decisions. Industry case studies will highlight how these capabilities are being applied to improve asset performance, reduce operational risks, and support proactive field management. The session will also examine key challenges related to data quality, technology integration, change management, and scaling digital solutions across complex operational environments.

Presentations:

• MPDS: Dynamic Process Simulation and Control System Emulation with Immersive 3D/VR for FPSO Operator Training and Virtual Commissioning
  Anderson Oliveira da Rocha, Petrobras

• Turning Field Data into Decisions:  Data Physics for Proactive Asset Management
  Pallav Sarma, Tachyus - SLB

• AI Powered Hybrid Models for Closed-Loop Workflows: Elevating Onshore Production Performance in Brazil
  Frode Sedberg, BRAVA Energia

Chairs: Augusto Borella, Intelie; Robinson Luiz Souza Garcia, Petrobras

This session explores how advanced digital capabilities—including AI, predictive analytics, digital twins, and IIoT—are transforming asset integrity, logistics, and long-term asset life cycle performance. Attendees will discover how operators leverage these integrated data platforms to transition from reactive to predictive maintenance, optimize complex offshore and onshore supply chains, and extend the productive life of mature assets while driving down OPEX and emissions. Through real-world case studies, the session will address both the practical values of these technologies and the critical scaling challenges, from legacy system integration and data quality to the change management needed to empower the frontline workforce.

Presentations:

• Using Generative AI to support Offshore Supply Vessel Route Optimizer
  Fredrik Larsen, Kabal

• A Digital Ecosystem for Faster, Safer, and Optimized Drilling Well Design: The CAESAR Web Workflow
  Lucas Gouveia, Federal University of Alagoas (UFAL), Laboratory of Scientific Computation and Visualization (LCCV)

• Application of Reduced-Physics and Machine Learning Models for Injector-Producer Connectivity Analysis and Production Forecasting in Waterflooded Offshore Fields
  Pedro Marcelo Adrian Herbas, PRIO FORTE

Chairs: Constantino Nino, SPE Macae Section – Technology Advisor; Alex Chambers, Cognite 

This session will showcase how advanced digital technologies are transforming drilling and well intervention operations. Topics include Artificial Intelligence (AI), Machine Learning (ML), Digital Twins, automation, real-time analytics, and data-driven decision-making to improve operational efficiency, well integrity, safety, and cost performance.

Presentations:

• Automated Cementing: Remote, Autonomous Operation for Efficient and Consistent Deepwater Cementing Operations
  Jardyson Melo, Halliburton

• Digital Transformation in Drilling Operations: From Digital Twin Monitoring to Smart Twin-Based Automation for Value Creation and Risk Reduction 
  Rodrigo Yugi, Petrobras

Chairs: Carlos Calad, Lupatech; Fred Clarke, Stepchange Global Consultancy Ltd

High well count fields and unconventional developments require scalable, intelligent solutions to manage operational complexity and maximize asset value. This session is dedicated to showcasing compelling case studies and practical applications illustrating the impact of Digital Transformation initiatives across these assets. The primary aim is to demonstrate how cutting-edge technologies—including artificial intelligence, machine learning, IIoT, automation, and advanced analytics—are being leveraged to optimize reservoir performance, enhance production operations, streamline logistics, and improve maintenance practices at scale.
The session will also highlight how digital technologies are supporting sustainability objectives by reducing emissions, optimizing energy and water consumption, minimizing operational waste, and improving safety and reliability. By harnessing these innovations, operators can increase production, reduce costs, mitigate risks, and create long-term value while responsibly developing complex and rapidly expanding assets.

Presentations:

• Production Surveillance at Scale: From Operational Visibility to Engineering Prioritization
  Fred Clarke, Stepchange Global 

• Digital Transformation in Engineering Workflows: A Unified Application for Well/Reservoir Studies
  João Bertol, Origem Energia

• From Isolated SCADA Systems to Enterprise-Wide Operational Intelligence: Digital Transformation of a 100-Year-Old Oil & Gas Field – Block X Peru
  David Rodríguez, OIG PERU S.A.C

Chairs: Guilherme Veloso, SLB; Adriana Hernandez, Sierracol

The oil and gas industry has proven the potential of advanced digital technologies through numerous pilots and targeted applications. The next challenge is scaling these solutions across assets and operations while ensuring long-term sustainability and measurable value. This session will explore practical cases involving artificial intelligence, computer vision, digital twins, IIoT, robotics, automation, and advanced analytics, with emphasis on integration with existing infrastructure, workforce adoption, governance, cybersecurity, lifecycle management, and value measurement. Presentations demonstrating successful scale-up, tangible operational outcomes, and candid lessons from implementation challenges are particularly encouraged.

Presentations:

• From Fragmented Well Evaluations to Lifecycle-Aware Decision Support: The iWells Platform
  Vedran Zikovic, TNO

• Dynamic Particle Distribution (DPD): A Digital Approach for Real-Time Optimization of Particle-Based Drilling Performance
  Reinaldo Maldonado, WellRite