Edson Mojica Bohorquez

In this session, Edson shares how NexTier is transforming maintenance from reactive to predictive using a fully integrated ecosystem of CMMS, real-time monitoring platforms, and field operations. With over 20 years in oil and gas—primarily in pressure pumping—Edson brings a unique perspective on how to make data truly actionable for technicians in the field. This session is a must-attend for anyone looking to bridge the gap between data science and field operations in high-pressure, high-cost environments.  

Key takeaways include:  

• Training predictive models : Using time-series sensor data, failure logs, and maintenance records to support real-time decision-making in high-utilization environments. 
• Delivering insights to the field: Monitoring hub translating complex data into clear, timely guidance for technicians—helping them decide whether equipment should stay in service, return to the shop, or undergo rebuild. 
• Predictive twins and equipment utilization: Evaluating asset life extension strategies and rebuild ROI through simulation and data-driven diagnostics. 
• Balancing CapEx and OpEx: Collaborating across engineering, digital, and maintenance to identify which assets are worth rebuilding and which should be retired—maximizing uptime and profitability