So, What's New For 2025?
HERE ARE 10 CHALLENGES, SOLUTIONS AND APPLICATIONS THE NEXT CONFERENCE WILL LOOK AT.
1. Collaboration as Strategy: Breaking Down Silos for AI Implementation
As AI technology advances, its successful implementation depends on robust cross-disciplinary collaboration. The 2024 event highlighted the essential role of cohesive teams in driving AI projects that not only deliver measurable ROI but also enhance production optimization. With unified efforts across geoscientists, engineers, data scientists, and IT professionals, the full potential of AI to transform operations can be realized. Expect the 2025 event to be full of practical lessons and strategic insights.
2. Unlocking the Power of AI in Reservoir Models
The evolution of AI in reservoir management is advancing rapidly, with real-time sensor data analysis at the forefront. Although the real-time element wasn't a primary focus in 2024, we expect an in-depth exploration of real-time-focused topics in 2025.
3. AI-Driven Decision Support Systems are also gaining traction, helping operators make faster, more informed decisions by integrating real-time data and predictive models.
4. AI-Powered Compliance: Cutting Emission Costs While Staying Ahead of Regulations
Many of the 2024 speakers touched on using AI to cut the cost of compliance within their presentations, but for 2025, there will be a greater emphasis on this topic. As the need to measure, monitor, and reduce emissions grows, operators are looking at leveraging AI to minimize environmental impact while maintaining operational efficiency.
Expect to benefit from strategic-level panel sessions and roundtable discussions on such applications.
5. AI For Production Optimization, Especially In Mature Fields
AI is also gaining traction in mature field management, with operators showcasing its potential to maintain production levels. As we look ahead to 2025, expect an expanded focus on companies piloting AI-enhanced production optimization and oil recovery techniques. While still in its infancy, this area of exploration is gaining momentum.
6. Making AI Models Transparent and Usable for Engineers
Equally important is the focus on AI and machine learning model interpretability. As AI systems take on more significant roles in decision-making, the demand for transparent, interpretable models is increasing. Operators actively seek tools and training that bridge the divide between AI’s advanced capabilities and traditional engineering know-how—a convergence that will be pivotal to future success.
7. AI for All: How Smaller Operators Are Overcoming Data Gaps in 2025
In 2025, the spotlight will also turn to the distinct challenges and opportunities smaller operators face. Many of these companies have identified gaps in access to high-quality data as a significant hurdle, with historical datasets often being incomplete or inconsistent compared to their larger counterparts. However, AI presents an effective solution to bridging these data gaps.
8. Overcoming Workforce and Cultural Barriers in AI Adoption
A persistent challenge for operators across the board is the need for more skilled professionals capable of managing and optimizing AI technologies. This factor has frequently stalled the success of early-stage initiatives. Acknowledging the critical importance of this issue, the 2025 event will prioritize strategies to close these workforce gaps and enhance AI proficiency. However, the challenge extends beyond talent shortages—companies, regardless of size, are also grappling with deep-rooted cultural and operational resistance to AI adoption. Implementing AI demands a fundamental overhaul of operational workflows, and failing to address these cultural barriers can significantly impede progress. The 2025 discussions will focus on actionable solutions to develop not only the necessary technical expertise but also the cultural adaptability required for AI-driven transformation.
9. Real-Time Threat Detection: How AI is Raising the Cybersecurity Bar in 2025
In today’s unpredictable geopolitical environment, cybersecurity remains an ever-growing concern, particularly for the oil and gas sector. Over a third of attendees have voiced interest in how AI can bolster real-time threat detection and rapid breach response capabilities. With several cutting-edge companies already making strides in this area, 2025 will spotlight these innovative solutions. As the integration of AI and digital technologies in oil and gas expands, so will the cybersecurity challenges—a key focus for the next event.
10. Optimizing Culture, Training, and Workflows for 2025
For the 2025 conference, we are ensuring that our speakers address the full spectrum of challenges operators face—whether it's emissions reduction or broader AI integration.
The consensus is clear: AI tools and predictive analytics offer too much potential to be overlooked, particularly in driving down compliance costs. However, success in AI implementation extends beyond the technology itself. It's about refining operational processes, cultivating a supportive company culture, and equipping teams with the right skills to maximize business outcomes. With a deep understanding of the industry's evolving needs, we intend to develop a 2025 agenda tailored to large and small operators. Alongside focusing on AI models and data strategies, we'll highlight critical enablers such as workforce training, cultural transformation, and workflow optimization to ensure these innovations deliver a strong return on investment.
We're excited to bring fresh perspectives and impactful solutions, making next year's event even more valuable to the industry.
