为石油工程社区打造智能助手，显著提升作业效率与公平性
A Virtual Member of a Community of Practice for the Society of Petroleum Engineers: From Prototype to Deployment
- 基于多文档检索与主动推送优化知识获取流程
- 实测显示任务完成效率与表现均衡性优于现有先进系统
- 已部署于石油工程师协会平台，服务真实用户群体
本文描述了为石油与天然气行业实践共同体（CoP）设计的虚拟助手ATHENA从原型到实际部署的演进过程。对75名美国石油工程师学会（SPE）成员进行的首版原型评估显示，相较于最先进的RAG基线系统，ATHENA在一系列真实井位规划任务中显著提升了专业人员的生产力和绩效均等性。评估也识别出改进空间。本文介绍了在多文档检索、答案验证支持以及更精准的主动知识分发等方面的改进。新版本的ATHENA在支持复杂知识任务方面表现优于当前先进基准系统。该系统已集成至SPE研究门户，并正式向协会成员部署使用。
原文摘要 · Abstract (English)
We describe the evolution of a virtual assistant, called ATHENA, designed to support the capture, retrieval, and dissemination of knowledge for members of a Community of Practice (CoP) related to the Oil and Gas sector. An evaluation of a first prototype involving 75 professionals from the Society of Petroleum Engineering (SPE) showed that ATHENA dramatically improved both their productivity and performance equality on a set of realistic well-planning tasks compare to their use of a state-of-the-art RAG baseline system. However, the evaluation also identified areas for improvement. This paper describes technical advances to our first prototype in the areas of multi-document retrieval, support for answer validation, and more focused proactive dissemination. Evaluation results show that this enhanced version of ATHENA provides better support for completing knowledge-intensive tasks related to well planning than does a state-of-the-art baseline. ATHENA has been integrated into the SPE Research Portal and is being deployed for use by the society's membership.
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