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Analysing Geomechanical events reported in Daily Drilling Reports (DDRs) is essential for operational planning to prevent non-productive time and economic losses. This work describes an automated tool that leverages natural language processing, ontologies and Knowledge Graphs to extract such events along with their contextual data. The semantic and structured representation of this information enables its effective retrieval and the DDR analysis, significantly reducing the required effort and time.

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Using Knowledge Graphs to Analyze Geomechanical Events in Daily Drilling Reports

  • 会议论文

  • 发表日期：

    2026年

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  • Jonas Queiroz,
  • Luis C. S. Afonso,
  • Nelson Choueri,
  • Marcelo A. Jaculli,
  • Ivan R. Guilherme,
  • Bruno E. Penteado,
  • Jose R. P. Mendes,
  • João Papa,
  • Stephan R. Perrout,
  • Felipe L. Oliveira

摘要

Analysing Geomechanical events reported in Daily Drilling Reports (DDRs) is essential for operational planning to prevent non-productive time and economic losses. This work describes an automated tool that leverages natural language processing, ontologies and Knowledge Graphs to extract such events along with their contextual data. The semantic and structured representation of this information enables its effective retrieval and the DDR analysis, significantly reducing the required effort and time.