Visual Analytic Tool for Lessons Learned Retrieval and Decision Making

According to the World Petroleum Council (WPC), the average age of employees in Oil and Gas companies is 50 years, and it is estimated that in the next 5 years 40-60% of them will retire. One consequence of this age-related crisis is losing the accumulated knowledge by retiring “gray-beards”. In this scenario, new software technologies are mandatory to retain decades of expertise and transfer it to new employees. The objective of this project is to start paving the way for developing a novel software system that supports timely decision-making using lessons learned and best practices in the oil and gas industry. The proposed project is focused on reducing the overhead of the complicated process of retrieving all necessary pieces of information to solve a problem. This system integrates textual information from different sources, such as manuals and lessons learned, to retrieve most of the related documents using natural language processing technologies. To achieve this goal, query correction and suggestion are followed by finding the most relevant documents to the query. TO BE CONT’D

Faculty Supervisor:

Fernando Paulovich


Elham Etemad


Waterford Energy Services Inc


Computer science


Information and communications technologies




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