From Source to Sink: Multi-Domain Analysis of CO2 Capture, Transport, and Storage in Global Contexts

Nishant Gupta, Puneet Saraswat • European Association of Geoscientists & Engineers

86th EAGE Annual Conference & Exhibition, June 2025, Volume 2025, p.1 - 5

Carbon Capture and Storage (CCS) is crucial for heavy industries. To overcome the challenges of manually managing vast, disparate CCS data (sources, sinks, infrastructure), we developed a Data Fabric framework. This system unifies multi-modal data into a semantic graph, creating a single, queryable, and traceable representation of all CCS-related concepts.

View Publication: 10.3997/2214-4609.202510502

System and Methods for Intelligent Data Discovery and Global Basin Analytics on OSDU

Puneet Saraswat, Nishant Gupta, Audrey Cisneros • European Association of Geoscientists & Engineers

86th EAGE Annual Conference & Exhibition, June 2025, Volume 2025, p.1 - 5

The energy sector requires better data solutions to handle its vast, complex geoscientific datasets (including OSDU). We introduce a scalable Data Fabric system that transforms multi-modal subsurface data into a semantic hypergraph. This enables intelligent data discovery and contextual, basin-wide analysis by unifying data from all sources.

View Publication: 10.3997/2214-4609.2025101200

Data fabrics in exploration geology: Transforming global basin analysis and discoverability with AI-driven semantic graph computing

Nishant Gupta, Puneet Saraswat, Audrey Cisneros, Ansh Joshi • Society of Exploration Geophysicists

Fourth International Meeting for Applied Geoscience & Energy, December 2024

This study proposes the application of AI-driven semantic graph computing in the field of exploration geology, to significantly improve new knowledge discovery and analysis. In this research, we successfully processed ∼1500 documents from key basins (like the Gulf of Mexico) and transformed them into a meaningful, searchable semantic knowledge graph, providing granular, aggregated insights for future exploration.

View Publication: 10.1190/image2024-4093638.1

Data fabric architecture – the solution to explore better?

GeoExPro Magazine, Henk Kombrink, November 2024, Volume 21, p.37

A peer review of "Vector field aware graph network for enhanced reservoir analysis and management" originally presented at the Fourth International Meeting for Applied Geoscience & Energy by Ansh Joshi, Puneet Saraswat, Nishant Gupta, and Audrey Cisneros. This study demonstrates how complex reservoir analysis can be simplified by extracting a semantic subgraph that illustrates both contextual relationships and complex interactions influencing reservoir performance.

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