A key challenge in early exploration for oil and gas producers is making sense of vintage data. Time is critical, but the data is often siloed and exists in unstructured sources such as reports, presentations, spreadsheets and operational logs. Finding, organizing and assessing this data can take months and years with significant financial and opportunity costs.
Wintershall Dea GmbH engaged IBM to develop the Exploration Advisory Tool, or EAT, an intelligent search engine that uses AI to analyze vast amounts of unstructured geological data. The EAT solution thinks like a geologist, helping researchers quickly discover insights from the data. This helps them make better and faster decisions in the intense competition for oil and gas exploration contracts.