This paper introduces an agentic artificial-intelligence (AI) framework designed for offshore production surveillance and intervention. Agentic AI is a novel framework comprising a collection of AI models operating autonomously yet collaboratively to achieve a common goal. Each model specializes in performing a certain task to streamline production monitoring, root-cause analysis, predictive maintenance, and optimization workflows. It uses comprehensive data sets, including production history, well coordinates, intervention history, and petrophysical and completion information, to support dynamic decision-making across the asset.
Methodology
The proposed framework leverages a collection of task-specialized AI agents, each designed to address specific workflows critical to offshore production operations.
