AI-Based System Automates Textual Classification of Daily Drilling Reports

被引:0
|
作者
Perrout, Stephan [1 ]
Riente, Aliel F. [1 ]
Vanni, Guilherme S.F. [1 ]
机构
[1] Petrobras, Brazil
来源
JPT, Journal of Petroleum Technology | 2024年 / 76卷 / 02期
关键词
Benchmarking - Data mining - Infill drilling - Metadata - Offshore oil well production - Offshore technology - Risk analysis;
D O I
10.2118/0224-0055-JPT
中图分类号
学科分类号
摘要
Structured daily drilling reports (DDRs) are a rich source of information that allows better planning, more-accurate risk analysis, and improved key performance indicators and contracts. However, such information is originally stored in a free-text and unstructured format, which becomes difficult for efficient data mining. With the advance of artificial intelligence (AI) technologies, particularly AI language models, applying such techniques over unstructured data has become critical to digital transformation. The complete paper presents an approach for automatic DDR classification that incorporates new techniques of AI. Copyright 2023 Offshore Technology Conference.
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收藏
页码:55 / 57
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