MLOps for Oil and Gas
This webinar explores how Machine Learning Operations (MLOps) is applied in the oil and gas sector to move machine learning models from experimentation to production at scale. Participants will learn how automated pipelines, monitoring systems, and governance frameworks enhance efficiency, reliability, and business value across exploration, drilling, and production.
Webinar Objectives
• Define MLOps and its role in operationalizing AI for oil and gas.
• Examine workflow automation, model deployment, and continuous monitoring.
• Highlight applications in seismic data analysis, drilling optimization, and production forecasting.
• Discuss integration challenges, data governance, and legacy system compatibility.
About the Presenter
The session is led by a professional in AI-driven digital transformation for oil and gas. The presenter combines technical knowledge and industry experience to provide actionable strategies for implementing and scaling MLOps in complex operations.
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Time : 9 PM Indian Time | Duration : 90 Minutes
Well Intervention 101: Tools for Unlocking Tomorrow's Energy
Discover the essential tools and techniques that keep oil and gas wells producing efficiently throughout their lifecycle. This webinar explores well intervention operations—from slickline and wireline to coiled tubing and hydraulic snubbing—and their critical role in extending well life, improving productivity, and maximizing energy recovery. Learn how modern technology and best practices drive intervention success in today's energy landscape.