Data-Driven Exploration: Optimizing Oil & Gas Site Selection with AI
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Data-Driven Exploration: Optimizing Oil & Gas Site Selection with AI

Leverage geospatial analytics and machine learning to enhance exploration ROI.

Site selection in upstream oil & gas is costly, complex, and critical. VSI Technologies applies AI and geoscience data analytics to accelerate informed decision-making–minimizing dry wells and maximizing recovery potential.Limitations of Traditional Exploration Models

  • Fragmented geological datasets and manual interpretations
  • Low predictive accuracy on reservoir viability
  • Inefficient integration between subsurface data and field ops

VSI's Exploration Intelligence Framework1. Geospatial Data Lakes Ingesting Seismic, Topo, and Well Log Data2. AI Models for Subsurface Pattern Recognition and Prospect Scoring3. Integration with GIS/SCADA Platforms for Site Feasibility Analysis4. Visualization Dashboards with Reservoir Risk Insights

Outcomes Delivered

  • Up to 45% reduction in non-productive exploration costs
  • Faster site validation and permitting timelines
  • Stronger ESG alignment through low-impact exploration planning

Conclusion

With VSI, exploration teams drill less and discover more–faster, smarter, and cleaner.

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