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Machine learning for Seismic Fault Interpretation

Machine learning for Seismic Fault Interpretation

Update: 2020-10-23
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AI in the hands of geoscientists—automating geophysical interpretation

As Schlumberger launches the industry’s first enterprise-grade automated geophysical interpretation solutions powered by artificial intelligence and machine learning, we’ve brought together a panel of geoscientists to discuss the new technology and answer a fundamental question of digital transformation in our industry:
“To what extent can we rely on computers to do geophysical interpretation?” Specific focus is placed on seismic fault interpretation and fault extraction.

Host: Morten Jensen, Digital Innovation Projects Manager

Panelists: Surender Manral, Geophysics Portfolio Manager, Olesya Zimina, Senior Product Analyst Geophysics, Sam Tilley, Artificial Intelligence and Innovation Group Project Manager (D&I).
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Machine learning for Seismic Fault Interpretation

Machine learning for Seismic Fault Interpretation

Schlumberger Software