Resources

As the upstream oil and gas industry continues to innovate, leading operators are embarking on their journey toward fully autonomous operations. This webinar will examine the transition from initial concepts to active implementation across both greenfield and brownfield projects. Attendees will learn about the evolution of digital oilfield projects, highlighting key shifts from offline, model-based decisions to real-time optimization and integrated operations. With a renewed focus on emission reductions and sustainable practices, the industry is increasingly leveraging artificial intelligence and equipment performance management to enhance operational reliability and efficiency. We will explore specific applications such as well test automation, closed-loop production optimization, and flaring reduction, emphasizing the integration of digital twins and predictive insights across the upstream asset lifecycle. Join us for a comprehensive discussion on how these advancements are paving the way to optimized fully autonomous operations in the oil and gas sector.

In the oil industry, predictive maintenance is essential for optimizing operations and minimizing downtime. However, many companies struggle to transform the vast amounts of data generated into actionable insights. Without the right tools and strategies, valuable data can remain underutilized, leaving maintenance, operations, and engineering teams without clear direction. Join our webinar to discover how to unlock the true potential of predictive maintenance by turning data into meaningful actions. In this webinar, you will learn: - How to transform predictive data into actionable maintenance strategies that deliver measurable operational improvements. - The role of AI and machine learning in enhancing decision-making and streamlining maintenance workflows. - Effective methods for prioritizing maintenance tasks to optimize resource allocation and minimize operational disruptions.