Unlocking drilling potential requires a deep understanding of subsurface geology—combining geophysical, petrophysical, and core analysis to assess formations and optimize well placement. However, traditional subsurface data workflows are fragmented, time-intensive, and often lack real-time insights.
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Join this session to explore how Visual Data Science and AI-powered analytics can revolutionize subsurface data management and how to enable geoscientists and engineers to:
- Accelerate subsurface evaluations with seamless ingestion, processing, and analysis of DLIS and LAS files.
- Enhance well log interpretation using visual interactive data QC, data transformation, and AI-powered analytics.
- Optimize well placement and reservoir characterization through AI-driven comparisons, spacing analysis, and predictive modelling.
- Leverage real-time drilling data for proactive decision-making, operational efficiency, and downtime reduction.
Through live demonstrations and industry use cases, discover how interactive analytics - generated on-the-fly from the Spotfire Copilot - accelerate decision-making, improve efficiency, and unlock new opportunities in drilling and reservoir management. We will showcase how AI Agents can be quickly developed and integrated into visual data science workflows to perform tasks such as responding to inquiries about daily drilling reports.Â