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:DBEngrAppSci, WAYAQR, WAYSMA

Grading: Letter or Credit/No Credit
ENERGY 121: Fundamentals of Multiphase Flow (ENERGY 221)
Multiphase flow in porous media. Wettability, capillary pressure, imbibition and drainage, Leverett Jfunction, transition zone, vertical equilibrium. Relative permeabilities, Darcy's law for multiphase flow, fractional flow equation, effects of gravity, BuckleyLeverett theory, recovery predictions, volumetric linear scaling, JBN and JonesRozelle determination of relative permeability. Frontal advance equation, BuckleyLeverett equation as frontal advance solution, tracers in multiphase flow, adsorption, threephase relative permeabilities.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
Instructors:
Tchelepi, H. (PI)
;
Khebzegga, O. (TA)
ENERGY 155: Undergraduate Report on Energy Industry Training
Onthejob practical training under the guidance of onsite supervisors. Required report detailing work activities, problems, assignments and key results. Prerequisite: written consent of instructor.
Terms: Aut, Win, Spr, Sum

Units: 13

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
...
more instructors for ENERGY 155 »
Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
;
Caers, J. (PI)
;
Durlofsky, L. (PI)
;
Gerritsen, M. (PI)
;
Horne, R. (PI)
;
Kovscek, A. (PI)
;
Mukerji, T. (PI)
;
Tartakovsky, D. (PI)
;
Tchelepi, H. (PI)
;
Wilcox, J. (PI)
ENERGY 160: Modeling Uncertainty in the Earth Sciences
Whether Earth Science modeling is performed on a local, regional or global scale, for scientific or engineering purposes, uncertainty is inherently present due to lack of data and lack of understanding of the underlying phenomena. This course highlights the various issues, techniques and practical tools available for modeling uncertainty of complex Earth systems as well as the impact uncertainty has on practical decisions for geoengineering problems. The course focuses on practical breadth rather than theoretical depth. Topics covered are: the process of building models, sources of uncertainty, probabilistic techniques, spatial data analysis and geostatistics, grid and scale, spatiotemporal uncertainty, visualizing uncertainty in large dimensions, Monte Carlo simulation, sensitivity analysis, reducing uncertainty with data, value of information. Applications to both local (reservoir, aquifer) and global (climate) are covered through literature study. Extensive software use with SGEMS.nnPrerequisites: algebra (
CME 104 or equivalent), introductory statistics course (
CME 106 or equivalent).
Terms: Win

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Tartakovsky, D. (PI)
;
Zhou, Z. (TA)
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:DBEngrAppSci

Grading: Letter or Credit/No Credit
ENERGY 191: Optimization of Energy Systems (ENERGY 291)
Introductory mathematical programming and optimization using examples from energy industries. Emphasis on problem formulation and solving, secondary coverage of algorithms. Problem topics include optimization of energy investment, production, and transportation; uncertain and intermittent energy resources; energy storage; efficient energy production and conversion. Methods include linear and nonlinear optimization, as well as multiobjective and goal programming. Tools include Microsoft Excel and AMPL mathematical programming language. Prerequisites:
MATH 20, 41, or
MATH 51, or consent of instructor. Programming experience helpful (e.g,,
CS 106A,
CS 106B).
Terms: Win

Units: 34

Grading: Letter (ABCD/NP)
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: 13

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
...
more instructors for ENERGY 192 »
Instructors:
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
;
Durlofsky, L. (PI)
;
Gerritsen, M. (PI)
;
Horne, R. (PI)
;
Kovscek, A. (PI)
;
Mukerji, T. (PI)
;
Tartakovsky, D. (PI)
;
Tchelepi, H. (PI)
ENERGY 193: Undergraduate Research Problems
Original and guided research problems with comprehensive report. May be repeated for credit.
Terms: Aut, Win, Spr, Sum

Units: 13

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
...
more instructors for ENERGY 193 »
Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
;
Caers, J. (PI)
;
Durlofsky, L. (PI)
;
Gerritsen, M. (PI)
;
Horne, R. (PI)
;
Kovscek, A. (PI)
;
Mukerji, T. (PI)
;
Tartakovsky, D. (PI)
;
Tchelepi, H. (PI)
;
Wilcox, J. (PI)
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 3hour 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

Grading: Letter (ABCD/NP)
Instructors:
Benson, S. (PI)
;
Boon, M. (PI)
;
Garing, C. (PI)
...
more instructors for ENERGY 201 »
Instructors:
Benson, S. (PI)
;
Boon, M. (PI)
;
Garing, C. (PI)
;
Gran, M. (PI)
;
Zahasky, C. (PI)
;
Ni, C. (TA)
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