A Virtual Member of a Community of Practice for the Society of Petroleum Engineers: From Prototype to Deployment
arXiv:2608.19199v1 Announce Type: new Abstract: 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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[Submitted on 26 May 2026]
Title:A Virtual Member of a Community of Practice for the Society of Petroleum Engineers: From Prototype to Deployment
View a PDF of the paper titled A Virtual Member of a Community of Practice for the Society of Petroleum Engineers: From Prototype to Deployment, by John Boden and Joshua Eckroth and Dayne Freitag and Skyler Gipson and Johnathan Keefe and Karen Myers and Eric Schoen and Pedro Sequeira and Reid Smith and Michael Wessel
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Abstract: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.
Comments: 7 pages
Subjects:
Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)
Cite as: arXiv:2608.19199 [cs.CL]
(or arXiv:2608.19199v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2608.19199
arXiv-issued DOI via DataCite
Submission history
From: Karen Myers [view email] [v1] Tue, 26 May 2026 17:34:22 UTC (963 KB)
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