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JU@joseleonardoguevarau
PhD in Petroleum Engineering specializing in machine learning applications.
CanadaI am a dedicated researcher and engineer with a PhD in Petroleum Engineering from the University of Alberta, where I focused on applied reinforcement learning and optimization for enhanced oil recovery. My academic journey has been marked by a commitment to excellence, achieving a perfect GPA of 4.0. I have a strong foundation in machine learning, fluid mechanics, and computational fluid dynamics, which I leverage to develop innovative solutions to complex engineering problems.
Currently, I serve as a Postdoctoral Fellow at the University of Alberta, where I conduct cutting-edge research in the application of machine learning strategies to multiphase flow in the mining industry. My work involves collaboration with multidisciplinary teams to create data pipelines and predictive models that enhance operational efficiency. I have previously led significant projects, including the development of a multi-well intelligent framework for steam injection rates using deep reinforcement learning algorithms.
Throughout my career, I have been recognized with multiple scholarships and awards for my contributions to the field. I am passionate about teaching and have experience as an Assistant Professor, where I prepare and deliver advanced courses in petroleum engineering. I am eager to continue my journey in academia or industry, contributing to innovative projects that push the boundaries of engineering and technology.
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Work history, roles, and key accomplishments
University of Alberta
Feb 2023 - Present (2 years 9 months)
Conducted research applying machine learning strategies to multiphase flow in the mining industry, focusing on soft sensors, surrogate modeling, and image processing. Collaborated with a multidisciplinary team to develop solutions using data pipelines, machine learning, and predictive modeling.
University of Alberta
Jan 2025 - Present (10 months)
Prepared and taught PETE 642 Advanced Reservoir Simulation to 14 engineering Masters and PhD students. Developed course material and delivered lectures.
University of Alberta
Jan 2018 - Present (7 years 10 months)
Implemented a multi-well intelligent framework for SAGD process optimization using deep reinforcement learning and Python libraries. Developed a methodology for efficient dynamic surrogate modeling for fast approximation of time series outputs.
University of Alberta
Jan 2018 - Present (7 years 10 months)
Prepared material for selected classes, marked assignments, and held office hours for students. Supported courses in Modeling in Petroleum Engineering and Drilling Engineering.
University of Zulia
Sep 2010 - Present (15 years 2 months)
Participated in nationally funded projects, including the application of model-predictive control for thermal recovery processes. Co-optimized CO2 storage and oil recovery using machine learning strategies.
University of Zulia
Sep 2010 - Present (15 years 2 months)
Taught undergraduate and graduate courses in mathematical optimization, object-oriented programming (Python/Java), and fluid mechanics. Developed and delivered lectures and course materials.
Petrociencia Foundation
Jan 2009 - Present (16 years 10 months)
Led the development of a Python-based machine learning and statistical modeling software for the Venezuelan national oil industry. This involved agile development, data visualization, database technologies, and software testing.
Degrees, certifications, and relevant coursework
UAPhD, Petroleum Engineering
2018 - 2023
Grade: 4/4
Focused on the application of reinforcement learning and optimization for enhanced oil recovery. Achieved a perfect GPA of 4/4 during the doctoral program.
MSc, Applied Computing
2008 - 2012
Grade: 19.4/20
Concentrated on applied machine learning and optimization techniques for enhanced oil recovery. Maintained a high GPA of 19.4/20 throughout the master's program.
Mechanical Engineer, Mechanical Engineering
2002 - 2008
Grade: 16.3/20
Specialized in machine learning-based control systems. Achieved a GPA of 16.3/20 during the engineering studies.
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