Emma Comrie currently works as a Research Associate in the Department of Management Science. She is working on a project funded by the Oil and Gas Innovation Centre. The aim of the project is to develop an elicitation protocol to elucidate expert opinions regarding oil drilling decisions.
She received her BSc Honours degree in Mathematics, Statistics and Accounting in 2010, her MSc in Operational Research in 2011 and her PhD in Management Science in 2015, all from the University of Strathclyde.
Emma is an interdisciplinary researcher who enjoys working on a diverse range of problems. She has a particular interest in supporting knowledge exchange between the University of Strathclyde and industry partners as well as knowledge exchange within the University of Strathclyde. Having recently completed her PhD and now beginning her career as a researcher, Emma is developing links with other departments in the Business School as well as other faculties at the University of Strathclyde to work collaboratively on multidisciplinary research projects.
I am currently working on a six month project to formalise the role of expert opinion within geological models. The project is cross-disciplinary involving two departments in the University of Strathclyde, namely the Department of Management Science and the Department of Civil and Environmental Engineering. It is conducted in collaboration with an industry partner and funding was received from the Oil and Gas Innovation Centre.
It is well known that geological experts, the proven oil finders, are invaluable to petroleum companies in the exploration for oil. These oil finders possess tacit knowledge developed through decades of experience. Yet, the industry faces a significant loss of knowledge as many of these experts are reaching the end of their careers and when they leave so will their knowledge. At present, there is a lack of tools available to preserve their expertise for the benefit of future generations.
The aim of the project is to capture the tacit knowledge of the experts and formalise it within an automated model to allow the retrieval of their expertise as needed. The fundamental aspect is to develop a process for the elicitation and structuring of expert judgement, specifically in the area of interpretation of seismic and well data.
Prior to my current project, I was working with the Department of Management Science on the EPSRC funded ‘Resilience and Robustness of Dynamic Manufacturing Supply Chain Networks’ project. I was also working with the Department of Naval Architecture, Ocean and Marine Engineering on the ‘Safety Enhancements in Transport by Achieving Human Orientated Resilient Shipping Environment’ project, funded through the European Union’s Seventh Framework Programme.
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