本文介绍了一种专为海上油气生产监测和干预而设计的智能体人工智能（AI）框架。智能体AI是一种新型框架，它由一系列自主运行但又协同工作的AI模型组成，旨在实现共同目标。每个模型都专注于执行特定任务，从而简化生产监测、根本原因分析、预测性维护和优化工作流程。该框架利用包括生产历史、井位坐标、干预历史以及岩石物理和完井信息在内的综合数据集，为整个油气资产的动态决策提供支持。
所提出的框架利用了一系列专门针对特定任务的 AI 代理，每个代理都旨在解决对离岸生产运营至关重要的特定工作流程。
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.
The proposed framework leverages a collection of task-specialized AI agents, each designed to address specific workflows critical to offshore production operations.
