• CH EN 5167: Petroleum Prod Eng

  3.00 Credits

  University of Utah

  
  This course is a compilation of diverse but essential modules for any practicing petroleum engineer. Included are advanced wireline logging interpretation, artificial life principles, pressure transient analysis principles, basics of safety and risk analysis, petroleum economics, and petroleum resources management systems.
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• CH EN 5169: Petrophysics

  3.00 Credits

  University of Utah

  
  Engineering petrophysics covers the assessment of rock type, hydrocarbon storage and transport capabilities, geologic depositional and tectonic environments, natural fracturing and mechanical properties appropriate to any part of the engineering life cycle of a well or field. It incorporates well logging, in situ testing, surface measurements, and core analysis. A recommended prerequisite for CH EN 5169 is CH EN 5163, Petroleum Science.
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• CH EN 5173: Pract Indust Proc Engg

  3.00 Credits

  University of Utah

  
  Technical elective targeted towards chemical engineering juniors and seniors. Covers topics valued in industry and relevant for process or design engineers, such as computer aided design, piping systems, industrial power, process instrumentation, distributed control systems, plus software and tools commonly used in industry. Classes include lectures, hands-on training and presentations by invited speakers.
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• CH EN 5181: Drilling Engineering

  3.00 Credits

  University of Utah

  
  An introduction to surface and subsurface activities associated with drilling new wells or deepening existing wells. Along with the basics, newer technologies (directional drilling, underbalanced drilling, measurement while drilling, etc.) will be introduced. Highlights the basics of connecting a wellbore to the reservoir following drilling. This involves completing the well (cementing and perforating, gravel packing, frac packing, screens) and stimulation (hydraulic fracturing or acidizing are carried out to enhance connectivity to and production from the formations of interest). Environmental awareness and procedures for minimizing footprint and impact on the environment will be considered.
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• CH EN 5185: Reservoir Engineering

  3.00 Credits

  University of Utah

  
  Basic properties of reservoir fluids. Material balances for oil, gas, and condensate reservoirs. Equations and their solution for single-phase flow problems. Well testing of oil and gas wells. Basics of two phase flow. Applications of multiphase flow. Reservoir simulation. Reservoir engineering of unconventional resources - shales. Enhanced oil recovery.
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• CH EN 5187: Reservoir Characterize

  3.00 Credits

  University of Utah

  
  Describes the fundamental techniques for building an integrated reservoir model using seismic reflection and well data. Emphasizes basic mapping of subsurface structure and stratigraphy. By the end of the course students will be able to explain the fundamentals of building a valid reservoir model. A reservoir model will be developed for use in CH EN 5156, Simulation of Petroleum Reservoirs. Petroleum Geoscience, CH EN 5163, is desirable prerequisite for 5187.
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• CH EN 5203: Linear Control Systems

  3.00 Credits

  University of Utah

  
  Introduction to modeling of multivariable systems in state space form. System analysis including stability, observability and controllability. Control system design using pole placement, and linear quadratic regulator theory. Observer design. Prerequisites: 'C' or better in (CH EN 4203 OR ME EN 3210) AND Full Major status in Chemical Engineering
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• CH EN 5205: Smart Systems

  3.00 Credits

  University of Utah

  
  Smart Systems covers advanced operation and automation of systems. Topics include dynamic simulation with systems of ordinary differential equations, advanced process control, custom control logic, empirical modeling using regression techniques, quadratic programming, nonlinear programming, real-time optimization, and machine learning with neural networks. The graduate-level section of this course will require a special project. Prerequisites: "C" or better in (MATH 2250 AND PHYS 2220).
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• CH EN 5208: Mach Learning for ChemE

  3.00 Credits

  University of Utah

  
  Machine learning is a convergence of linear algebra, statistics, optimization, and computational methods to allow computers to make decisions and take actions from data. Examples of machine learning are now pervasive and are expected to further influence the transportation, entertainment, retail, and energy industries. This engineering course reviews theory and applications of machine learning for engineering applications with a survey of unsupervised and supervised learning methods.
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• CH EN 5230: Bio Devices & Sensors

  3.00 Credits

  University of Utah

  
  This course is designed to teach students about engineering and applications of materials in the biomedical applications with an emphasis on devices and sensors. Students will gain an understanding of the entire life cycle of materials starting form the extraction of materials to engineering devices, to end-of-life disposal. Students will gain hands on experience in device fabrications methods and will be required to build and demonstrate a biomedical device as part of the course. Students will use Arduino boards and python for sensor instrumentation and data acquisition. At the end of the course, students will understand how to design a biomedical device/sensor with the appropriate materials and fabrication methods.
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