Abstract
<jats:title>Abstract</jats:title> <jats:p>This paper details a proof-of-concept demonstrating the application of generative AI agents to enhance operational efficiency in a mature unconventional oil and gas field. The primary objective was to develop and validate a digital assistant capable of unifying diverse, siloed data sources to provide field personnel with actionable insights and facilitate faster, data-driven decision-making.</jats:p> <jats:p>The methodology involved deploying a multi-agent system built upon a commercially available enterprise AI platform. The architecture was designed to integrate a wide array of data, including semi-structured daily operational reports, tabular well intervention records, and highly unstructured real-time operator communications from chat logs. The core of the system utilized a context-aware Retrieval-Augmented Generation (RAG) framework, where specialized agents were assigned to each data domain and orchestrated to synthesize comprehensive responses.</jats:p> <jats:p>The results confirm that the system successfully provided unified, actionable intelligence from disparate data formats. The agentic framework demonstrated a documented error rate reduction of approximately 78% in information retrieval tasks compared to traditional RAG implementations, indicating a significant increase in reliability. Furthermore, the use of a contextual retrieval strategy for data ingestion yielded a statistically significant improvement in response relevance. This advanced method achieved a median performance score of 0.83, compared to a score of 0.62 for standard retrieval methods, ensuring that the generated answers were more accurate and trustworthy.</jats:p> <jats:p>This paper presents a novel and practical blueprint for how energy companies can leverage orchestrated AI agents to break down persistent data silos. It moves beyond single-task AI applications to showcase a holistic framework that democratizes access to critical information, turning vast repositories of operational data—including previously inaccessible informal communications—into a strategic asset. The findings illustrate a clear path toward augmenting human capabilities and embedding data-driven intelligence into the core of complex field operations.</jats:p>