Title : Unlocking subsurface value through digital transformation
Abstract:
In an era marked by increasingly complex reservoirs and the urgent need for cost-effective, low-carbon solutions, the oil and gas industry faces mounting pressure to extract greater value from subsurface data. This presentation introduces a comprehensive digital transformation framework aimed at unlocking insights from both legacy and real-time subsurface data using advanced analytics, cloud computing, and AI-driven workflows.
A central theme is the digitalisation of physical subsurface assets including hard copy maps, well logs, surface and subsurface markers, and seismic volumes stored on magnetic tapes. By converting these analog resources into structured digital formats, they can be seamlessly integrated into modern geological and structural models, reducing uncertainty and enhancing interpretative accuracy.
This transformation extends beyond individual datasets. It emphasizes cross-disciplinary data integration bridging geophysics, geology, petrophysics, reservoir engineering, drilling, and production to break down silos and enable end-to-end workflows. The framework is technology-agnostic, ensuring interoperability across platforms and vendors such as Schlumberger, Halliburton, and others.
We showcase how integrated digital solutions from data aggregation and cleansing to machine learning-enabled interpretation can significantly enhance reservoir characterization, accelerate decision-making, and reduce cycle times. Real-world case studies demonstrate tangible benefits, including improved seismic interpretation, optimized well placement, and more predictive reservoir models.
This presentation offers actionable insights for operators, service providers, and technology developers seeking to modernize their subsurface asset strategies and transition toward a fully integrated, data-driven exploration and production model.
Digital Transformation Workflow
- Data Collection
- Data Digitalisation
- Data Integration
- Advanced Analytics
- AI-driven Workflows
- Enhanced Decision-Making
Data Integration Across Disciplines
- Geophysics
- Geology
- Petrophysics
- Reservoir Engineering
- Drilling
- Production