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1 - 10 of 33 results for: ENERGY

ENERGY 101: Energy and the Environment (EARTHSYS 101)

Energy use in modern society and the consequences of current and future energy use patterns. Case studies illustrate resource estimation, engineering analysis of energy systems, and options for managing carbon emissions. Focus is on energy definitions, use patterns, resource estimation, pollution. Recommended: MATH 21 or 42.
Terms: Win | Units: 3 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA

ENERGY 121: Fundamentals of Multiphase Flow (ENERGY 221)

Multiphase flow in porous media. Wettability, capillary pressure, imbibition and drainage, Leverett J-function, transition zone, vertical equilibrium. Relative permeabilities, Darcy's law for multiphase flow, fractional flow equation, effects of gravity, Buckley-Leverett theory, recovery predictions, volumetric linear scaling, JBN and Jones-Rozelle determination of relative permeability. Frontal advance equation, Buckley-Leverett equation as frontal advance solution, tracers in multiphase flow, adsorption, three-phase relative permeabilities.
Terms: Win | Units: 3 | UG Reqs: GER:DB-EngrAppSci
Instructors: Tchelepi, H. (PI)

ENERGY 155: Undergraduate Report on Energy Industry Training

On-the-job practical training under the guidance of on-site supervisors. Required report detailing work activities, problems, assignments and key results. Prerequisite: written consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-3 | Repeatable for credit

ENERGY 160: Modeling Uncertainty in the Earth Sciences (ENERGY 260)

Terms: Win | Units: 3

ENERGY 167: Engineering Valuation and Appraisal of Oil and Gas Wells, Facilities, and Properties (ENERGY 267)

Appraisal of development and remedial work on oil and gas wells; appraisal of producing properties; estimation of productive capacity, reserves; operating costs, depletion, and depreciation; value of future profits, taxation, fair market value; original or guided research problems on economic topics with report. Prerequisite: consent of instructor.
Terms: Win | Units: 3 | UG Reqs: GER:DB-EngrAppSci

ENERGY 192: Undergraduate Teaching Experience

Leading field trips, preparing lecture notes, quizzes under supervision of the instructor. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-3 | Repeatable 2 times (up to 6 units total)

ENERGY 193: Undergraduate Research Problems

Original and guided research problems with comprehensive report. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-3 | Repeatable 4 times (up to 12 units total)

ENERGY 194: Special Topics in Energy and Mineral Fluids

May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-3 | Repeatable 2 times (up to 6 units total)

ENERGY 201: Laboratory Measurement of Reservoir Rock Properties

In this course, students will learn methods for measuring reservoir rock properties. Techniques covered include core preservation and sample preparation; Rock petrography; Interfacial tension of fluids; Measurement of contact angles of fluids on reservoir media; Capillary pressure measurement and interpretation; Absolute and effective porosities; Absolute permeability; Multiphase flow including relative permeability and residual saturation. The class will be 1 3-hour lecture/lab per week, with readings and weekly assignments. A field trip to a professional core characterization lab may be included.
Terms: Win | Units: 3

ENERGY 212: Advanced Programming for Scientists and Engineers (CME 212)

Advanced topics in software programming, debugging, and performance optimization are covered. The capabilities and usage of common libraries and frameworks such as BLAS, LAPACK, FFT, PETSc, and MKL/ACML are reviewed. Computer representation of integer and floating point numbers, and interoperability between C/C++ and Fortran is described. More advanced software engineering topics including: representing data in files, application checkpoint/restart, signals, unit and regression testing, and build automation. The use of debugging tools including static analysis, gdb, and Valgrind are introduced. An introduction to computer architecture covering processors, memory hierarchy, storage, and networking provides a foundation for understanding software performance. Profiles generated using gprof and perf are used to help guide the performance optimization process. Computational problems from various science and engineering disciplines will be used in individual and group assignments. Prerequisites: CME 200/ ME 300A and CME 211 or equivalent level of programming proficiency in Python and C/C++.
Terms: Win | Units: 3
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