Lucas is a first-year PhD Researcher in the Smart Systems Group at the Institute of Sensors, Signals and Systems (ISSS). As a student of the CDT in Embedded Intelligence he is conducting research within the field of Prognostics and Health Management of Critical Assets.
In 2017 Lucas graduated from the Technical University Bergakademie Freiberg, Germany as a Petroleum Engineer (Dipl. Ing.). Holding a 1st class degree his studies focused on drilling- and production-engineering tasks. During a term abroad at the National Chung Hsing University (NCHU), Taiwan and multiple internships he became acquainted with numerical modelling and data processing. Within the scope of his final thesis, Lucas developed an improved approach to forecast hydrate formation and a novel method to supress the formation of hydrates during gas expansion. Both aspects where implemented into a software application, enabling field engineers to evaluate on-site the problems hydrate formation may cause.
His PhD projects targets the key elements of Condition Based Monitoring (CBM) and Prognostics and Health Management (PHM). Various approaches are utilized and applied to the critical assets of the drill string, which is particularly exposed to a harsh environment making prognostics a decisive factor to allow for undisturbed operations.
Sam Gunn completed her MEng in Electrical and Electronic Engineering at Heriot-Watt University. After completing her master's project, aimed at exploring lens designs with the goal of increasing the resolution of a radar based sensing method created by the Microwave and Micro-systems engineering group at Heriot-Watt, Sam was presented with the opportunity to undertake a PhD through the Centre for Doctoral training in embedded intelligence (CDT_EI). Her PhD aims are to identify, design, manufacture, and test suitable sensing technologies capable of on-line real-time measurements which can meet the demand of the Food and Beverage Industry. The project aims to develop techniques in order to monitor viscosity in real time while exploring the potential for multi-sensing capability.
Jamie Blanche is a second year PhD student working on the fusion of internal and external sensing methodologies for laboratory-based geomechanical monitoring. Having attained a BSc (hons) at Heriot Watt University in Physics with Environmental Science, Jamie has enjoyed several years of upstream petroleum industry experience prior to achieving an MSc in Petroleum Geoscience, also from Heriot Watt University. Joining the Smart Systems Group in April 2015, Jamie’s work currently involves the novel use of radar sensing and elastico-mechano-luminescence (EML) to determine in situ flow characteristics within deformed rocks and “pseudorock” analogues, serving as a platform for preliminary work in real-time sensing within an extreme environment and a departure from current practices of post-failure analysis. This work aims to inform improved hydrocarbon extraction strategies, in addition to the augmentation of current geomechanical imaging techniques.