How YPF and Corva Are Using Data-Driven Insights to Reduce Restriction Risk and Improve Completion Performance
Couldn’t make it to the Casing Deformation Detection in Completions live session? You can now watch our expert-led webinar on-demand.
In this session, Corva’s Jessica Iriarte joins YPF’s Cecilia Daciuk to discuss how advanced analytics and machine learning are helping operators identify casing deformation before it leads to operational challenges. The conversation explores how YPF uses CCL data, anomaly detection, and operational workflows to proactively manage deformation risk, optimize completion designs, and reduce non-productive time across unconventional development programs.
🎯 What You’ll Learn
- How machine learning is being used to identify casing deformation before restrictions impact operations
- The role of CCL data quality, acquisition practices, and anomaly detection in improving confidence and reducing false positives
- How YPF adjusted stage spacing, plug selection, and completion designs to mitigate deformation risk
- Best practices for integrating operational context, tension data, and field observations into deformation detection workflows
- Lessons learned from deploying predictive casing deformation monitoring across active completion programs
▶️ Watch the Webinar On-Demand
Get the full presentation, audience Q&A, and practical takeaways from YPF’s real-world implementation of casing deformation detection and mitigation strategies.
Blog
Sep 3, 2026
