Applying Gen AI for Drilling Optimization: Insights from a Real-World Implementation скачать в хорошем качестве

Applying Gen AI for Drilling Optimization: Insights from a Real-World Implementation

Drilling Activity generates a significant amount of data. This data is typically captured across a variety of sources such as time and depth series data from geological surveys and drilling operations, unstructured data from End of Well reports, and structured data from internal IT systems. To date, synthesizing this data into a usable format and generating actionable insights has been a challenge. In this talk, we present results from a fielded Gen AI solution that synthesizes data from our historic drilling wells in Romania and provides a natural language interface for drilling experts to interact with. Additionally, it provides recommendations for optimizing well design and performance parameters based on past results. Our goal is to reduce project costs by streamlining information discovery and improve decision accuracy by leveraging data-backed insights.