Browsing by Author "Hassay, Derek N."

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    Identifying the Optimum Zone for Reducing Drill String Vibrations
    (2018-07-10) Etaje, Darlington Christian; Shor, Roman J.; Gates, Ian Donald; Hassay, Derek N.
    This thesis was written to address the vibration problems that occur during drilling operations. Due to the rotational motion effected on the drill string while drilling, vibrations occur, and when these vibrations become excessive, the drill string may oscillate in a manner that could damage the pipes and damage other tools attached to the drill string. Machine learning may be used to identify the vibration prone zones and provide recommendations to the driller to change the operating weight on bit (WOB) and rotation speed (RPM) to achieve drilling efficiency while reducing the possibility of damages downhole. Data received from the rig is processed through a dimension reduction process and then categorized using a decision tree classification method. The rules behind the decision tree was created by reversing conventional ways of curbing vibration problems during drilling operations. In the course of the research, it was discovered that there is a need for additional safety gap away from the usual boundary for vibration problems. Quantitative risk analysis was used to identify this gap. This report explains the process of identifying that safety gap. The machine learning model used throughout this research was trained on recorded downhole data and tested with surface data from the electronic drilling recorder. The reports also highlight the findings from market research done to identify the possibility of deploying this research as a startup in Calgary, Canada. Detailed competitor analysis is shown based on customer discovery and customer validation interviews. This has led to the development of business model canvas which is described in this report. A blue ocean strategy was graphed showing that the startup, “Optimum Zone Identifier, OZI” can be differentiated from competitors by being in a market segment that has unique needs with OZI being the only player fitting this category.
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    A Value Driven, Co-designed Framework for Sustained Patient Engagement
    (2019-04-22) McCarron, Tamara L.; Marlett, Nancy J.; Noseworthy, Tom W.; Hassay, Derek N.; White, Deborah Elizabeth; Lorenzetti, Diane L.; Bryan, Stirling; McCaughey, Deirdre
    Patient involvement in various aspects of healthcare, from improving healthcare quality to promoting patient safety, has emerged as a critical priority, but understanding how best to engage patients is not well-understood. This knowledge gap results in frustrating barriers for decision-makers looking to draw transferable lessons to inform the design of patient engagement programs and processes. Coupled with challenges to the sustainability of health care and the need for innovative solutions, patient engagement has become central to improving both quality and delivery of services. This thesis is comprised of three independent studies that form an overarching program of research. The first study reports the results of a scoping review to understand how health systems are investing in building the capacity and ability of patients. In the second study, we build on the findings from the scoping review and a series of qualitative interviews to inform a provincial survey tool to understand the motivations of individuals who chose to give their time and talents to health organizations. In the third study, we co-designed a framework for patient engagement, grounded in market choice behaviour theory and informed by the literature, a province-wide survey and four provincial stakeholder workshops. While significant research exists that highlights the motivations of the public who choose to participate in decision-making, a limited number of studies have explored these concepts within healthcare. As the roles of patient and family members in the context of healthcare decision-making continue to evolve, the importance of effective and sustainable engagement programs will become increasingly important. A deeper knowledge of patient motivations will not only create meaningful engagement opportunities for patients but will also enable health organizations to gain from the experience of these individuals. While further research is needed to support the engagement of diverse groups of stakeholders, the findings from this study have developed an understanding of how patients are motivated to make engagement decisions. This knowledge will help focus patient engagement efforts, thereby improving the efficiency and cost effectiveness of these programs, ensuring their relative sustainability.