Reimagining AI-powered Shallow Hazard Analysis for a Global Energy Corporation

“Accessing the necessary information for risk analysis remains a challenge.”

Background and Business Challenges

Solution and Benefits

When Risk Mitigation Calls for AI Sensing of Shallow Hazards

Accurate shallow hazard risk prognosis is essential in the well delivery workflow, ensuring safe and reliable wells while supporting risk mitigation during planning. However, accessing the necessary information for risk analysis remains a challenge due to unstructured data.

Enhancing Safety With AI-driven Content Extraction

Infosys developed an AI-powered content extraction framework to efficiently retrieve critical well data, including depth and risk prognosis. By leveraging custom Azure ML models, Language Understanding, and Python-based classification modules, the solution streamlined information retrieval and analysis.

Benefits:

Enhanced Safety: Faster, more accurate risk identification improves well design decisions.
Increased Productivity: AI-driven automation reduces manual effort in risk assessment.