Plan recommendation for well engineering

Authors:
Richard Thomson;Stewart Massie;Susan Craw;Hatem Ahriz;Ian Mills
Affiliations:
Exceed Ltd, Aberdeen, UK;IDEAS Research Institute, Robert Gordon University, Aberdeen, UK;IDEAS Research Institute, Robert Gordon University, Aberdeen, UK;IDEAS Research Institute, Robert Gordon University, Aberdeen, UK;Exceed Ltd, Aberdeen, UK
Venue:
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Year:
2011

Citing 3
Cited 0

Explanation-Driven Case-Based Reasoning

EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Knowledge-based decision support in oil well drilling: combining general and case-specific knowledge for problem solving

Intelligent information processing II
Case-based recommendation

The adaptive web

Quantified Score

Hi-index	0.00

Visualization

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 progress. The Performance Tracker applies a case-based reasoning approach to support the reuse of project plans. Cases comprise problem parts that store project initiation data, and solution parts that record the tasks and subtasks of actual plans. An initial evaluation shows that nearest neighbour retrieval identifies projects in which the retrieved tasks and subtasks are relevant for the new project. The Performance Tracker can be viewed as a recommender system in which recommendations are plans. Thus the data that is routinely captured as part of the performance tracking during offshore implementation is utilised as experiences.