MLOps for Oil and Gas
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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
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Advanced Multi Wells Analysis & Formation Evaluation
This webinar delivers a concise and practical overview of advanced techniques for multi-well data analysis and formation evaluation. Participants will gain insights into integrating geological, petrophysical, and production data to better understand reservoir characteristics and performance. The session emphasizes data-driven approaches for improved reservoir interpretation, well placement, and production optimization.