Generative AI Chatbot for Drilling and Production integrates large language models (LLMs) with the Volve dataset, a publicly available dataset in the oil and gas industry. The Volve dataset was developed by Equinor, a Norwegian energy company. The chatbot is designed to analyze historical drilling and production reports, preform diagnostic analysis, generate structured query language (SQL), and provide recommendations for improving operations. The dataset is used to identify non-productive time, compare well performance, and diagnose root causes for poor-preforming wells. The chatbot uses machine learning for users to ask questions about the dataset, providing insights and analysis based on operational data.
Observatory of Examples of How Open Data and Generative AI Intersect
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
Share your project for inclusion. We seek to learn from generative AI initiatives that use open government and research data across a Spectrum of Scenarios. More information on each scenario can be found in our report: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI.