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

Advanced Drilling and Completion Techniques
This webinar explores modern drilling and completion practices that enhance efficiency, reduce operational risks, and maximize reservoir productivity. Participants will gain insights into innovative technologies, design strategies, and case applications that are reshaping drilling and completion operations in today’s oil and gas industry.