Machine learning and assisted subsurface characterization | SLB

Machine learning and assisted subsurface characterization

Published: 12/08/2022

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Integrated machine learning assisted subsurface characterization
Seismic interpretation workflows can be enriched through the usage of PaleoScan and the Petrel E&P software platform

In this webinar, we will show you how our integrated subsurface characterization workflow for seismic interpretation and quantitative interpretation, leverages machine learning and novel deterministic technologies to vastly accelerate and improve the quantification of uncertainty, enabling more informed business decisions. The workflow integrates with our recently launched Agile Reservoir Modeling workflow which combines physics-based solutions with AI and high-performance computing to orchestrate, model, and simulate responses to different development scenarios at unprecedented speeds.

Presenter: Surender Manral, Geophysics Portfolio Manager Oilfield - DSS NO T&S Sub-Surface

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