Plan recommendation for well engineering

作者: Hatem Ahriz , Susan Craw , Stewart Massie , Richard Thomson , Ian Mills

DOI: 10.5555/2025816.2025861

关键词: Software engineeringArtificial intelligenceReuseProject planRecommender systemCase-based reasoningWell engineeringProject planningMachine learningDomain (software engineering)Plan (drawing)Computer science

摘要: Good project planning provides the basis for successful offshore well drilling projects. In this domain, occurs in two phases: an onshore phase develops a plan; and implements plan tracks progress. The Performance Tracker applies case-based reasoning approach to support reuse of plans. Cases comprise problem parts that store initiation data, solution record tasks subtasks actual An initial evaluation shows nearest neighbour retrieval identifies projects which retrieved are relevant new project. can be viewed as recommender system recommendations Thus data is routinely captured part performance tracking during implementation utilised experiences.

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