Enabling AI-driven Geotechnical Analysis to Improve Ground Modeling for an International Oil and Gas Enterprise

“Accessing key information remains a challenge due to scattered and unstructured data sources.”

Background and Business Challenges

Solution and Benefits

When Geotechnical Data Needs To Be Made More Accessible

Geotechnical borehole data plays a vital role in ground modeling, defining engineering parameters, and understanding geohazard events. However, accessing key information such as pressure and logs remains a challenge due to scattered data sources.

Unearthing Geotechnical
Insights With AI

Infosys developed an AI-powered content extraction framework to retrieve critical geotechnical data, including pressure and logs. By leveraging custom Azure ML models, Language Understanding, and Python-based classification modules, the solution enhanced data accessibility and streamlined geotechnical analysis.

Benefits:

Enhanced Safety: Improved access to geotechnical insights supports better risk assessment.
Increased Productivity: AI automation reduces manual effort in data retrieval and classification.