Uncovering value in your subsurface legacy data with AI

The digitization of legacy subsurface data is vital for optimizing seamless data access and improving decision-making. A typical legacy subsurface data library can potentially be a billion dollar asset (Reed and Macalla, 2022). However, the value derived from the information in that library is dependent on the ability of end users to find and access the relevant data from potentially decades of legacy reports and documents.

In this webinar with our partner Katalyst Data Management, we explored the significance of converting non-digital records into findable and accessible indexed and standardized content. We discussed the challenges in managing digital transformation, and highlighted the importance of metadata in successful application of AI tools to subsurface data. In addition, you got to view a demo of our new joint solution to share functionality including:

• An AI enabled query tool using an agent with contextual intelligence
• Dramatic reduction in time required to find, access, interoperate and reuse information and knowledge contained in reports and documents
• Requirement for the AI agent to work against a robustly indexed, curated, quality-assured and industry standard categorized data set to return intelligent responses
• Use of a Large Language Model, Retrieval Augmented Generation architecture, maintained metadata, and knowledge graphs