Plan Recommendation for Well Engineering

نویسندگان

  • Richard Thomson
  • Stewart Massie
  • Susan Craw
  • Hatem Ahriz
  • Ian Mills
چکیده

Abstract. Good project planning provides the basis for successful offshore well drilling projects. In this domain planning occurs in two phases: an onshore phase develops a project plan; and an offshore phase implements the plan and tracks actual progress compared to the initial plan that was created onshore. The reuse of project plans is already prevalent within the oil and gas industry. A Performance Tracker tool has been built to support users in the reuse of project plans. It uses a case-based reasoning approach for plan recommendation that retrieves and reuses past well drilling project plans. Cases are composed of problem parts that store project initiation data, and solution parts that record the tasks and subtasks of actual plans. An initial evaluation shows that the nearest neighbour similarity based retrieval identifies relevant projects with similar project initiation data, and that the retrieved tasks and subtasks are relevant for the new project. The Performance Tracker can be viewed as a recommender system where the recommendations are plans based on past well drilling projects. Thus the data that is routinely captured as part of the performance tracking during offshore implementation is utilised as experiences that are retrieved and reused in similar well engineering contexts to propose project plans during onshore planning for new wells. Good project planning provides the basis for successful offshore well drilling projects. In this domain planning occurs in two phases: an onshore phase develops a project plan; and an offshore phase implements the plan and tracks actual progress compared to the initial plan that was created onshore. The reuse of project plans is already prevalent within the oil and gas industry. A Performance Tracker tool has been built to support users in the reuse of project plans. It uses a case-based reasoning approach for plan recommendation that retrieves and reuses past well drilling project plans. Cases are composed of problem parts that store project initiation data, and solution parts that record the tasks and subtasks of actual plans. An initial evaluation shows that the nearest neighbour similarity based retrieval identifies relevant projects with similar project initiation data, and that the retrieved tasks and subtasks are relevant for the new project. The Performance Tracker can be viewed as a recommender system where the recommendations are plans based on past well drilling projects. Thus the data that is routinely captured as part of the performance tracking during offshore implementation is utilised as experiences that are retrieved and reused in similar well engineering contexts to propose project plans during onshore planning for new wells.

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تاریخ انتشار 2011